Lead Databricks Developer Job at Wissen (Bangalore South)

Lead Power BI Developer

Lead consultant specializing in Power BI with a focus on data. Must have advance...

Location

Philippines

Salary:

Not provided

3Cloud

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer, engineering, data science or a related field
or equivalent work experience
Experience managing / leading a team
8+ years working with data and business intelligence solutions on the Microsoft tool stack for Business Intelligence (SSRS, Power BI, PowerPivot, PerformancePoint) or other vendor BI tools (Business Objects, MicroStrategy, Qlik, SAP)
Working knowledge of TSQL, data modeling, reporting using Power BI or other Microsoft tools
Experience creating complete Power BI report solutions with linked content, drilldowns, and nested parameters
Dynamic measure designs using advanced DAX techniques
Knowledge of data mashups and transformations using Power Query/M language
Utilize Databricks platform to develop, implement, and optimize data pipelines and workflows
Ability to report visual choices and visual interactions

Job Responsibility

Conduct customer discovery meetings to determine reporting requirements
Understand and work with customer on Power BI Licensing
Create well performing star schema data models for use with Power BI
Creating Power BI solutions for customers including importing data, building reports and dashboards
Guide customers on deploying Power BI solutions to the Power BI service (Gateways, DirectQuery, DataFlows, Data Updates)

Fulltime

Lead Veeva/Salesforce CRM Developer

The Specialist Software Engineer collaborates with Salesforce/Veeva CRM Admins, ...

Location

United States

Salary:

137457.00 - 171183.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree
OR Master’s degree and 2 years of computer science, IT, or related field
OR Bachelor’s degree and 4 years of computer science, IT, or related field
OR Associate’s degree and 8 years of computer science, IT, or related field
OR High school diploma / GED and 10 years of computer science, IT, or related field
5+ years of experience as a Salesforce CRM Developer
In-depth knowledge of Salesforce development, including experience working with MuleSoft or Databricks integrations
Hands-on experience with the Salesforce security model, including OWD, sharing rules, profiles, and permissions
Experience with Data Loader, data migration tools, and CI/CD tools
Salesforce Developer 2 (required)

Job Responsibility

Leads large CRM migration to ensure configurations, customizations, and data migration are successfully implemented in the new CRM
Drives development in Salesforce/Veeva CRM to build and configure new and existing features
Works closely with Product Owners and cross-functional Development Teams to plan and schedule releases, providing guidance on release dependencies, technical constraints, and risks
Supports the development teams in automating build, test, and deployment processes, enabling continuous integration and continuous delivery in the Salesforce/Veeva ecosystem
Provides ongoing support and troubleshooting for post-release issues, ensuring timely resolution of any problems that arise
Maintains and optimizes existing configurations and customizations by limiting or eliminating technical debt to streamline the system
Partners with Development Teams to ensure agile software delivery and DevOps practices are applied to move most effectively within our CI/CD pipeline
Researches Veeva/Salesforce capabilities as needed to suit business requirements and provides gap analysis
Works closely with other developers in the team, including Product Owners, Business Analysts, Salesforce Admins, QA Analysts, and Scrum Masters, across cross-functional teams
Develops innovative solutions using generative AI technologies

What we offer

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models, including remote and hybrid work arrangements, where possible

Fulltime

Sr. SQL Database Developer

We are seeking a highly skilled Sr. Database Developer with 4+ years of experien...

Location

Salary:

Not provided

HonorVet Technologies

Expiration Date

Until further notice

Requirements

4+ years of hands-on experience with Microsoft SQL Server and related database technologies
Strong expertise in designing and developing high-performance databases supporting large-scale concurrent transactions
Advanced knowledge of relational databases, logical/physical data modeling, and database architecture
Proficiency in SQL, stored procedures, triggers, and query optimization for large and complex datasets
Experience with data warehousing, OLTP, OLAP, operational data stores, and decision support systems
Hands-on experience with Snowflake, SQL Server, and Databricks
Skilled in developing SSRS reports with advanced reporting features and optimizations
Strong understanding of Agile development methodologies
Excellent communication and collaboration skills
Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent combination of education and experience

Job Responsibility

Collaborate with application, product, QA, and PMO teams to deliver database solutions that align with business requirements
Translate business requirements into technical specifications and partner with developers to deliver scalable results
Design, develop, and implement complex database systems, tools, and applications with a focus on performance and scalability
Write optimized queries, stored procedures, triggers, and leverage advanced SQL coding techniques
Utilize data modeling tools to design logical and physical database models
Lead database architecture and design initiatives, including performance optimization and data loading strategies from Snowflake to SQL Server via Databricks
Provide technical leadership, share best practices, and mentor team members
Contribute to project planning and provide accurate development estimates
Develop and optimize SSRS reports, including sub-reports, parameterized reports, linked reports, charts, and datasets
Configure and optimize SSRS report performance, including grouping and page-break functionality

Lead Data Engineer

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader i...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
7-9 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Certifications in Azure, Databricks, or Snowflake are a plus
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

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

Lead Data Engineer

Lead Data Engineer to serve as both a technical leader and people coach for our ...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in computer science, Engineering, or related field
8-10 years of data engineering experience with strong hands-on delivery using ADF, SQL, Python, Databricks, and Spark
Experience designing data pipelines, warehouse models, and processing frameworks using Snowflake or Azure Synapse
Proficient with CI/CD tools (Azure DevOps, GitHub) and observability practices
Solid grasp of data governance, metadata tagging, and role-based access control
Proven ability to mentor and grow engineers in a matrixed or global environment
Strong verbal and written communication skills, with the ability to operate cross-functionally
Strong Knowledge of Data Engineering concepts (Data pipelines creation, Data Warehousing, Data Marts/Cubes, Data Reconciliation and Audit, Data Management)
Working Knowledge of Dev-Ops processes (CI/CD), Git/Jenkins version control tool, Master Data Management (MDM) and Data Quality tools
Strong Experience in ETL/ELT development, QA and operation/support process (RCA of production issues, Code/Data Fix Strategy, Monitoring and maintenance)

Job Responsibility

Design, develop, and maintain scalable pipelines across ADF, Databricks, Snowflake, and related platforms
Lead the technical execution of non-domain specific initiatives (e.g. reusable dimensions, TLOG standardization, enablement pipelines)
Architect data models and re-usable layers consumed by multiple downstream pods
Guide platform-wide patterns like parameterization, CI/CD pipelines, pipeline recovery, and auditability frameworks
Mentoring and coaching team
Partner with product and platform leaders to ensure engineering consistency and delivery excellence
Act as an L3 escalation point for operational data issues impacting foundational pipelines
Own engineering best practices, sprint planning, and quality across the Enablement pod
Contribute to platform discussions and architectural decisions across regions

Fulltime

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

AI Developer Intern

AI Developer Intern role at Hewlett Packard Enterprise focusing on developing AI...

Location

United States , Houston

Salary:

40.00 - 46.00 USD / Hour

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Currently pursuing a Master's degree in Computer Science, Data Science, Engineering, Applied Mathematics or a related technical field
Strong coding proficiency in Python and SQL
Deep understanding of algorithmic thinking, data structures, and statistical modeling
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch)
Familiarity with large language models (LLMs), prompt engineering, fine-tuning techniques, and AI evaluation methodologies

Job Responsibility

Lead and contribute to the development of AI-driven analytics solutions focused on business performance and sales optimization
Work extensively with Databricks for scalable data engineering and Azure cloud services for model deployment, orchestration, and monitoring
Translate business requirements into scalable and performant technical solutions
Design, code, test, and assure the quality of complex AI-powered product features
Partner with a highly motivated and talented set of colleagues
Collaborate across teams and time zones, demonstrating flexibility and accountability

What we offer

Health & Wellbeing benefits
Personal & Professional Development programs
Unconditional Inclusion environment

Fulltime

Lead Databricks Developer

Wissen

Location:
India , Bangalore South

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 05, 2026

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