Data Lake SME Job at Hewlett Packard Enterprise (Bangalore)

Data Lake SME

We are looking for an experienced Data Lake / ETL Engineer with 7+ years of expe...

Location

India , Bangalore

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering, ETL/ELT development, or data lake management
Strong expertise in ETL tools (Informatica, Talend, dbt, SSIS, or similar)
Hands-on experience with big data ecosystems: Hadoop, Spark, Hive, Presto, Delta Lake, or Iceberg
Proficiency with SQL, Python, or Scala for data processing and transformation
Experience with cloud data platforms (AWS Glue, Redshift, Azure Synapse, GCP BigQuery)
Familiarity with workflow orchestration tools (Airflow, Temporal, Oozie)

Job Responsibility

Design and implement data ingestion pipelines for structured, semi-structured, and unstructured data
Develop and manage ETL/ELT processes for large-scale data processing
Optimize storage and retrieval strategies across on-prem and cloud-based data lakes
Integrate data from multiple sources (databases, APIs, streaming platforms)
Implement real-time and batch processing using Apache Spark, Kafka, or Flink
Support metadata management, data lineage, and cataloging
Tune queries and pipelines for high performance and cost efficiency
Implement partitioning, indexing, and caching strategies for large datasets
Automate routine ETL/ELT workflows for reliability and speed
Ensure compliance with data governance, privacy, and regulatory standards (GDPR, HIPAA, etc.)

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Pre-Sales Solution Engineer

We are seeking a highly skilled Enterprise focused Pre-Sales Solution Engineer t...

Location

Salary:

Not provided

LakeFS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a technical pre-sales or solution engineering role, preferably in the software industry
Excellent verbal and written communication skills, with the ability to deliver technical presentations to both technical and non-technical audiences
Hands-on experience with Kubernetes and containerized environments
Experience leading client workshops, sales enablement sessions, and technical training
Ability to work independently as well as collaboratively across sales, product, and engineering teams
Excellent problem-solving skills and a creative approach to architecting solutions
Experience in technical sales of open source products is preferred
Strong understanding and hands-on experience in the Data & AI ecosystem, including: Data lake and data warehouse technologies (e.g., S3, Delta Lake, Iceberg, Hive, Glue, Snowflake)
Data processing frameworks (e.g., Spark, Databricks, Flink, Trino, Presto)

Job Responsibility

Own the technical win from discovery through demo, architecture design, pilot/POC, security review, and a clean handoff to Customer Success
Design and present tailored demos that showcase branch‑based workflows, reproducible experiments, schema‑safe changes, and instant data rollback
Scope and execute pilots with clear success criteria
create sample repos, notebooks, and automation (Spark/Databricks jobs, Airflow DAGs, CI pipelines) that prove value quickly
Build reference architectures for lakeFS OSS and Cloud across AWS/Azure/GCP
document IAM roles, private networking, scaling, GC/performance tuning, and disaster recovery
Answer deep technical questions as a lakeFS SME
Handle RFPs and security questionnaires
map controls to customer requirements and recommend compliant deployment patterns
Partner with sales to quantify business impact (risk reduction, developer velocity, storage efficiency) and co‑create the ROI/TCO narrative with champions

Senior Technical Product Marketing Manager

Fivetran is the data foundation for AI, enabling enterprises to scale analytics ...

Location

United States , Denver

Salary:

154283.00 - 19285350.00 USD / Year

Fivetran

Expiration Date

Until further notice

Requirements

4-8 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting
Data industry experience and expertise: Either hands-on work with or a deep knowledge of data engineering with a focus on data integration, data lakes, open table formats (e.g. Delta Lake, Apache Iceberg), data warehouses, data catalogs and related technologies (e.g. SQL, dbt, python, Spark)
Technical aptitude and a desire to learn more: Knowledge of modern data infrastructure and tools, particularly in relation to data lakes and their role in analytics and storage. Has a keen interest in all things data integration and cloud destinations and a willingness to work on new product areas as they arise
Experience working with multiple different teams: Proven experience partnering and coaching across Product, Sales, Marketing, and Enablement teams to deliver impactful results
Strong in-person, virtual, and written communication: Exceptional verbal and written communication skills, capable of adapting messaging for different technical personas and mediums
Highly-organized with an excellent project management track record: Strong project management skills to juggle multiple initiatives and projects, maintain proactive communication with stakeholders, and meet deadlines
An understanding of our target customers: The ability to gain a deep understanding of the needs and challenges of data engineers, data scientists, data architects, and technical stakeholders

Job Responsibility

Content Development & Messaging: Create high-impact technical collateral across the Fivetran platform, including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, and other customer-facing content. Develop thought leadership that translates complex technical concepts into clear, value-based messaging for technical audiences. Review and edit materials across the product portfolio to ensure technical accuracy, consistency, and strategic alignment
Customer & Market Insights: Conduct research on market trends, customer needs, and competitive dynamics across the modern data ecosystem to inform product positioning and messaging. Partner closely with Product Management to deeply understand features, technical capabilities, and customer use cases across multiple product areas. Develop how-to guides, demo videos, case studies, and technical whitepapers that support adoption and expansion across key products
Cross-Functional Collaboration: Act as a technical marketing partner to GTM Product Marketers, Demand Generation, Regional Marketing, Sales, and Enablement to support launches, campaigns, webinars, field events, and sales plays across priority product areas. Collaborate with Partner Marketing to showcase integrations and ecosystem partnerships through joint initiatives such as webinars, workshops, and hands-on labs
Technical Expertise: Operationalize technical product marketing best practices across teams. Stay up to date with trends in data integration, cloud data platforms, AI, deployment models, governance, etc. Serve as technical SME on the Fivetran platform, articulating how it fits into customers’ broader data stacks and workflows. Provide best practices, reference architectures, and technical validation to support sales cycles and customer conversations
Thought Leadership: Represent Fivetran as a platform expert through events, presentations, webinars, and hands-on labs. Support analyst relations and strategic conversations by providing detailed technical insights and validating product innovation across the portfolio. Help position Fivetran as a foundational component of modern, scalable data infrastructure

What we offer

100% employer-paid medical insurance
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Senior Technical Product Marketing Manager

Fivetran is the data foundation for AI, enabling enterprises to scale analytics ...

Location

United States , Oakland

Salary:

178069.00 - 222586.00 USD / Year

Fivetran

Expiration Date

Until further notice

Requirements

4-8 years of experience in product marketing, data engineering, product management, sales engineering, and/or data and analytics consulting
Data industry experience and expertise: Either hands-on work with or a deep knowledge of data engineering with a focus on data integration, data lakes, open table formats (e.g. Delta Lake, Apache Iceberg), data warehouses, data catalogs and related technologies (e.g. SQL, dbt, python, Spark)
Technical aptitude and a desire to learn more: Knowledge of modern data infrastructure and tools, particularly in relation to data lakes and their role in analytics and storage. Has a keen interest in all things data integration and cloud destinations and a willingness to work on new product areas as they arise
Experience working with multiple different teams: Proven experience partnering and coaching across Product, Sales, Marketing, and Enablement teams to deliver impactful results
Strong in-person, virtual, and written communication: Exceptional verbal and written communication skills, capable of adapting messaging for different technical personas and mediums
Highly-organized with an excellent project management track record: Strong project management skills to juggle multiple initiatives and projects, maintain proactive communication with stakeholders, and meet deadlines
An understanding of our target customers: The ability to gain a deep understanding of the needs and challenges of data engineers, data scientists, data architects, and technical stakeholders

Job Responsibility

Content Development & Messaging: Create high-impact technical collateral across the Fivetran platform, including architecture diagrams, demos, white papers, blogs, pitch decks, technical guides, and other customer-facing content. Develop thought leadership that translates complex technical concepts into clear, value-based messaging for technical audiences. Review and edit materials across the product portfolio to ensure technical accuracy, consistency, and strategic alignment
Customer & Market Insights: Conduct research on market trends, customer needs, and competitive dynamics across the modern data ecosystem to inform product positioning and messaging. Partner closely with Product Management to deeply understand features, technical capabilities, and customer use cases across multiple product areas. Develop how-to guides, demo videos, case studies, and technical whitepapers that support adoption and expansion across key products
Cross-Functional Collaboration: Act as a technical marketing partner to GTM Product Marketers, Demand Generation, Regional Marketing, Sales, and Enablement to support launches, campaigns, webinars, field events, and sales plays across priority product areas. Collaborate with Partner Marketing to showcase integrations and ecosystem partnerships through joint initiatives such as webinars, workshops, and hands-on labs
Technical Expertise: Operationalize technical product marketing best practices across teams. Stay up to date with trends in data integration, cloud data platforms, AI, deployment models, governance, etc. Serve as technical SME on the Fivetran platform, articulating how it fits into customers’ broader data stacks and workflows. Provide best practices, reference architectures, and technical validation to support sales cycles and customer conversations
Thought Leadership: Represent Fivetran as a platform expert through events, presentations, webinars, and hands-on labs. Support analyst relations and strategic conversations by providing detailed technical insights and validating product innovation across the portfolio. Help position Fivetran as a foundational component of modern, scalable data infrastructure

What we offer

100% employer-paid medical insurance*
Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays, and volunteer days off
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents

Fulltime

Senior Bigdata Engineer

The Applications Development Senior Programmer Analyst is an intermediate level ...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

8 - 10 years of relevant experience
Experience in systems analysis and programming of software applications
Experience in managing and implementing successful projects
Working knowledge of consulting/project management techniques/methods
Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
Programming Languages: Python, PySpark
Data Lake Table Format: Apache Iceberg
Data Orchestration: Apache Airflow
Data Visualization: Tableau
Big Data Processing: Apache Spark

Job Responsibility

Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems
Ensure essential procedures are followed and help define operating standards and processes
Serve as advisor or coach to new or lower level analysts
Has the ability to operate with a limited level of direct supervision
Can exercise independence of judgement and autonomy
Acts as SME to senior stakeholders and /or other team members

What we offer

Equal employment opportunity

Fulltime

Senior Cloud Data Architect

As a Senior Cloud Architect, your role will focus on supporting users, collabora...

Location

Spain , Barcelona

Salary:

Not provided

Allianz

Expiration Date

Until further notice

Requirements

Strong expertise in Azure cloud infrastructure, Data & AI technologies, and data platform management, with proficiency in Azure Synapse Analytics, Azure Machine Learning, Azure Data Lake, and Informatica Intelligent Data Management Cloud (IDMC)
Proven experience in modern Data Warehouse architectures (e.g., Lakehouse) and integrating machine learning models and AI capabilities using Azure services like Cognitive Services and Azure Bot Service for predictive analytics and automation
In-depth knowledge of data security and compliance practices using Azure AD, Azure Key Vault, and Informatica’s data governance tools, focusing on data privacy and regulatory standards
Expertise in optimizing resource usage, performance, and costs across Azure services and IDMC, leveraging tools like Azure Cost Management and Azure Monitor, and skilled in ETL/ELT tools and advanced SQL
Proficiency in data integration, machine learning, and generative AI from an architectural perspective, with hands-on experience in Python, SQL, Spark/Scala/PySpark, and container solutions like Docker and Kubernetes
Experience with CI/CD pipelines (e.g., GitHub Actions, Jenkins), microservices architectures, and APIs, with knowledge of architecture frameworks like TOGAF or Zachman, adept at managing multiple priorities in fast-paced environments, and excellent communication and presentation skills
Over 5 years of experience in cloud architecture focusing on Data & AI infrastructure, particularly in Azure, with expertise in building scalable, secure, and cost-effective solutions for data analytics and AI/ML environments.

Job Responsibility

Define and prioritize new functional and non-functional capabilities for the cloud-based data platform, ensuring alignment with business needs and Allianz's security, compliance, privacy, and architecture standards
Act as the platform SME for both potential and existing users, guiding them in the architecture of scalable, high-performance Data & AI solutions
Provide leadership and product guidance to engineering teams during the design, development, and implementation of new platform capabilities
Ensure all solutions meet defined quality standards and acceptance criteria
Work with stakeholders to co-create data solutions, optimizing business models and identifying opportunities for improved data usage
Lead the evaluation and selection of technologies and partners to implement data analytics use cases, focusing on proofs of concept and prototypes
Stay up to date with emerging trends in Data, Analytics, AI/ML, and cloud technologies
Leverage open-source technologies and cloud tools to drive innovation and cost-efficiency
Prepare materials for management briefings and public events
Represent the team in technical discussions, particularly regarding architecture and platform capabilities.

What we offer

Hybrid work model which recognizes the value of striking a balance between in-person collaboration and remote working incl. up to 25 days per year working from abroad
Rewarding performance through company bonus scheme, pension, employee shares program, and multiple employee discounts
Career development and digital learning programs to international career mobility
Flexible working, health and wellbeing offers (including healthcare and parental leave benefits)
Support for balancing family and career and helping employees return from career breaks with experience that nothing else can teach.

Fulltime

Principal Engineer I – Senior Azure Databricks Administrator

Software Resources has an immediate, direct hire job opportunity for a Principal...

Location

United States , Phoenix

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

8+ years of related experience in data analytics administration and development
4+ years of Databricks related experience
Bachelor’s degree in related field required
Advanced proven experience in Azure Databricks (Workspace management, Clusters, Jobs, Unity Catalog, Delta Lake, User access management, Rest APIs and SDKs)
Knowledge of MLFlow & MLOps
Deep understanding of Azure infrastructure and data services, including Azure Data Lake, Azure Data Factory, Azure SQL, Azure Synapse Analytics, Azure Key Vault, Azure Monitor, networking
Experience with CI/CD pipelines (Azure DevOps preferred)
Strong programming skills in SQL, Python, and/or PySpark
Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously
Advanced ability to see the big picture and align projects with organizational goals

Job Responsibility

Responsible for delivery and operations of technologies and platforms required to model, transform, analyze, report, visualize data
Provide SME expertise in designing, building, optimizing, streamlining and automating the Azure Databricks platform
Partner with ML engineers, data scientists, data analysts, and enterprise architects to provide frameworks, set standards, enforce best practices, train and enable users
Develop technical skills of one or more junior team-members
Take assignments that can be worked on individually without supervision, and manage work effort from concept to completion
Design, build, optimize, automate and maintain the Azure Databricks platform, ensuring scalability, security, governance and performance
Design, implement and manage Azure Databricks workspaces, clusters, jobs, access management
Design, implement and manage policies, monitoring and observability
Implement data analytics principles aimed at business enablement, reliability practices and sound recovery procedures
Ensure compliance with IT policies, procedures, and industry standards

What we offer

Competitive salaries
An ownership stake in the company
Medical and dental insurance
Time off
A great 401k matching program
Tuition assistance program
An employee volunteer program
A wellness program

Fulltime

Solution Architect

The Solution Architect role involves driving the architectural transformation fo...

Location

Ireland , Dublin

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Significant experience in Data modeling, Data lineage analysis, Operational reporting, preferably in a global organization
Proven architecture experience in solutioning of horizontally scalable, highly available, highly resilient data distribution platforms
Proficient in message queuing, stream processing, and highly scalable ‘big data’ data stores
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Extensive experience with Data Integration patterns
Extensive experience with Real/Near Real time streaming patterns
Strong background in Data Management, Data Governance, Transformation initiatives preferred
Preferred Experience/Familiarity with one or more of these tools: Big data platforms - Hadoop, Apache Kafka, Relational SQL, NoSQL, and Cloud Native databases - Postgres, Cassandra, Snowflake, Experience with data pipeline and orchestration tools - Azkaban, Luigi, or Airflow, Experience with stream-processing engines - Apache Spark, Apache Storm, or Apache Flink and ETL tools - Talend, Ab Initio, Experience with Data Analytics/visualization tools - Looker, Mode, or Tableau

Job Responsibility

Re-engineering the interaction of incoming and outgoing data flows from the Core Accounts DDA platform to Reference Data platforms, Data Warehouse, Data Lake as well as other local reporting systems which consume data from Core Accounts
Drive data architecture and roadmap for eliminating non-strategic point-to-point connections and batch handoffs
Define canonical data models for key entities and events related to Customer, Account, Core DDA in line with the Data Standards
Assess opportunities to simplify/rationalize/refactor the existing database schemas paving way for modularization of the existing stack
Provide technical guidance to Data Engineers responsible for designing an Operational Data Store for intra-day and end-of-day reporting
Implementing data strategies and developing logical and physical data models
Formulate efficient approach to rationalize and formulate strategy to migrate reports
Build and nurture a strong engineering organization to deliver value to internal and external clients
Acts as SME to senior stakeholders in business, operations, and technology divisions across upstream and downstream Organizations
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users

What we offer

Competitive base salary (annually reviewed)
Hybrid working model (up to 2 days working at home per week)
Additional benefits supporting you and your family

Fulltime

Data Lake SME

Hewlett Packard Enterprise

Location:
India , Bangalore

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 04, 2026

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