ETL Data Model Lead Job at Vodafone (Pune)

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

United States

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related technical fields
Proven ability to design, build, and optimize large-scale data ecosystems
Strong track record of leading complex data engineering initiatives
Deep hands-on expertise in ETL/ELT design, data warehousing, and data modeling
Extensive experience with data integration frameworks and best practices
Advanced knowledge of cloud-based data services and architectures (AWS Redshift, Azure Synapse Analytics, Google BigQuery, or equivalent)
Strong strategic and analytical thinking
Proficiency with modern data engineering frameworks (Databricks, Spark, lakehouse technologies like Delta Lake)
Exceptional communication and interpersonal skills

Job Responsibility

Engage deeply with stakeholders to understand data needs, business challenges, and technical constraints
Translate stakeholder needs into scalable, high-quality data solutions
Implement with a DataOps mindset using tools like Apache Airflow, Databricks/Spark, Kafka
Build reliable, automated, and efficient data pipelines and architectures
Lead and execute complex projects
Provide technical direction and set engineering standards
Ensure alignment with customer goals and company principles
Mentor and develop data engineers
Promote knowledge sharing and thought leadership
Contribute to internal and external content

What we offer

Comprehensive health benefits
Generous time away and flexible PTO
Maternity and paternity leave
Access to educational resources with reimbursement for continued learning
401(k) plan with company contribution

Lead Data Product Engineer

We are looking for an experienced Lead Data Product Engineer to drive the develo...

Location

United States , Atlanta

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

10+ years of experience in data architecture, engineering, and technical leadership
Strong proficiency in SQL, Python, and DevOps methodologies
Expertise in AWS cloud data services such as Spark, Glue, Lambda, Redshift, Snowflake, and Kafka
Hands-on experience in data modeling, ETL development, and scalable data product design
Prior experience as a DBA is a plus
Background in the manufacturing or technology industry is beneficial

Job Responsibility

Design and implement optimized data models for Data Lakes and Data Products
Develop business mapping strategies across multiple datasets
Lead data architecture efforts, ensuring best practices in ETL and data engineering
Provide mentorship and technical guidance to engineering teams
Build high-performance, scalable, and automated data solutions leveraging AWS cloud services
Collaborate with cross-functional teams to bridge Data Engineering and Product Development

What we offer

Medical, vision, dental, and life and disability insurance
Eligibility to enroll in company 401(k) plan

Fulltime

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Big Data / Scala / Python Engineering Lead

The Applications Development Technology Lead Analyst is a senior level position ...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

At least two years (Over all 10+ hands on Data Engineering experience) of experience building and leading highly complex, technical data engineering teams
Lead data engineering team, from sourcing to closing
Drive strategic vision for the team and product
Experience managing an data focused product, ML platform
Hands on experience relevant experience in design, develop, and optimize scalable distributed data processing pipelines using Apache Spark and Scala
Experience managing, hiring and coaching software engineering teams
Experience with large-scale distributed web services and the processes around testing, monitoring, and SLAs to ensure high product quality
7 to 10+ years of hands-on experience in big data development, focusing on Apache Spark, Scala, and distributed systems
Proficiency in Functional Programming: High proficiency in Scala-based functional programming for developing robust and efficient data processing pipelines
Proficiency in Big Data Technologies: Strong experience with Apache Spark, Hadoop ecosystem tools such as Hive, HDFS, and YARN

Job Responsibility

Partner with multiple management teams to ensure appropriate integration of functions to meet goals as well as identify and define necessary system enhancements to deploy new products and process improvements
Resolve variety of high impact problems/projects through in-depth evaluation of complex business processes, system processes, and industry standards
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Utilize advanced knowledge of system flow and develop standards for coding, testing, debugging, and implementation
Provide in-depth analysis with interpretive thinking to define issues and develop innovative solutions
Serve as advisor or coach to mid-level developers and analysts, allocating work as necessary

Fulltime

Lead Data Engineer

Our client, a leading global consulting firm specializing in AI, advanced analyt...

Location

Saudi Arabia , Riyadh

Salary:

Not provided

Gitmax

Expiration Date

Until further notice

Requirements

Greenplum
Teradata
advanced SQL proficiency
Enterprise ETL tool experience
fluent in English (spoken and written)
5+ years of experience in Data Warehousing (DWH) projects within fintech, IT consulting, or related industries
proven experience managing a team of 5+ engineers in a technical leadership capacity
strong understanding of financial and banking data management practices

Job Responsibility

Lead the transition of a major credit bureau’s data platform from multiple scattered data warehouses to a unified Greenplum platform
manage ETL process migration and implement CDC and streaming solutions
develop a corporate reporting platform for a major bank
guide and mentor engineering teams
ensure best practices in data architecture, ETL development, and code review processes
work closely with internal and external business stakeholders to define technical solutions
enhance SQL queries, ETL pipelines, and data models for high performance and scalability
troubleshoot data integration issues
apply Agile methodologies to ensure smooth project execution and timely delivery

Fulltime

Lead Data Engineer

Join our dynamic team as a Lead Data Engineer to spearhead the development, opti...

Location

India , Hyderabad

Salary:

Not provided

Fission Labs

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
Expert-level understanding of Salesforce object model
Comprehensive knowledge of Salesforce integration patterns
Deep understanding of Salesforce data architecture
Experience with Salesforce Bulk API jobs
Ability to handle complex data transformations and migrations
Knowledge of Salesforce metadata and custom object relationships
Advanced Python programming skills
Proven experience with AWS cloud services, specifically: AWS Glue, AWS Step Functions, AWS Lambda, AWS S3, AWS CloudWatch, Athena
Salesforce data model, Bulk jobs and architecture

Job Responsibility

Experience leading and driving large scale data migration projects
Experience in working with all the stakeholders to plan and coordinate the entire migration process
Proficiency in Python development
Experience building scalable, event-driven data migration solutions
Strong understanding of ETL (Extract, Transform, Load) processes
Familiarity with cloud-native architecture principles

What we offer

Opportunity to work on business challenges from top global clientele with high impact
Vast opportunities for self-development, including online university access and sponsored certifications
Sponsored Tech Talks, industry events & seminars to foster innovation and learning
Generous benefits package including health insurance, retirement benefits, flexible work hours, and more
Supportive work environment with forums to explore passions beyond work

Fulltime

Data Analytics Lead Analyst

The Data Analytics Lead Analyst is a strategic professional who stays abreast of...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12-18 years experience using codes for statistical modeling of large data sets
Hands-on experience with build and test of ETL (Ab Initio) and API test automation frameworks
Hands-on experience with complex coding on automation frameworks to simplify test automation
Prior experience with Synthetic data solutions (Ex: Synthetic Data Vault and other LLM models)
Unix, SQL and Shell Scripting experience is a must have
Proficiency in PySpark
Strong understanding of Microservice architecture
Expertise in content validation from XML, databases, and flat files using scripts
SME in Data Analysis, Database testing, Messaging queues
Experience with tools like SOAP UI, Postman or Swagger

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Lead Data Engineer

As a Lead Data Engineer at Rearc, you'll play a pivotal role in establishing and...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data architecture, or related fields
Extensive experience in writing and testing Java and/or Python
Proven experience with data pipeline orchestration using platforms such as Airflow, Databricks, DBT or AWS Glue
Hands-on experience with data analysis tools and libraries like Pyspark, NumPy, Pandas, or Dask
Proficiency with Spark and Databricks is highly desirable
Proven track record of leading complex data engineering projects, including designing and implementing scalable data solutions
Hands-on experience with ETL processes, data warehousing, and data modeling tools
In-depth knowledge of data integration tools and best practices
Strong understanding of cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong strategic and analytical skills

Job Responsibility

Understand Requirements and Challenges: Collaborate with stakeholders to deeply understand their data requirements and challenges
Implement with a DataOps Mindset: Embrace a DataOps mindset and utilize modern data engineering tools and frameworks, such as Apache Airflow, Apache Spark, or similar, to build scalable and efficient data pipelines and architectures
Lead Data Engineering Projects: Take the lead in managing and executing data engineering projects, providing technical guidance and oversight to ensure successful project delivery
Mentor Data Engineers: Share your extensive knowledge and experience in data engineering with junior team members, guiding and mentoring them to foster their growth and development in the field
Promote Knowledge Sharing: Contribute to our knowledge base by writing technical blogs and articles, promoting best practices in data engineering, and contributing to a culture of continuous learning and innovation

ETL Data Model Lead

Vodafone

Location:
India , Pune

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 21, 2026

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