Axtria: -Axtria is a global provider of award-winning cloud software and data analytics to the life sciences industry. Axtria enables life sciences organizations to transform the product commercialization journey and deliver much-improved healthcare outcomes for patients worldwide. We are acutely aware that our work impacts millions of people and are incredibly passionate about the improvement we can bring to patients lives.
Our focus is on delivering solutions that help pharmaceutical, medical device, and diagnostics companies complete the journey from data to insights to action and get superior returns from their investments. As a participant of the United Nations Global Compact, Axtria is committed to aligning strategies and operations with universal principles on human rights, labor, environment, and anti-corruption and taking actions that advance societal goals.
Our people are our core strength, and they make us proud of our work; this has helped us grow exponentially and make tremendous strides toward developing great products. It is for the grit, thinking of an entrepreneur, and a family-like environment where each member is valued and treasured that we are growing rapidly.
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Job Title: - Senior Associate – Data Engineer (Databricks & ETL)
Requisition ID
Job Location: - Bengaluru, India (Offshore)
Job Summary: - This role will support the knowledge transfer and operational handover of an enterprise data platform to a Major Pharma client's in-house data engineering team. The Senior Associate – Data Engineer will work hands-on with the client's junior data engineers — pairing on live pipelines, conducting technical knowledge transfer sessions, building operational documentation, and ensuring the client team can independently own and operate the platform post-transition.
Job Responsibilities: -
Data Engineering & Platform Operations
- Develop, maintain, and optimize data pipelines on Databricks covering ingestion, transformation, data quality checks, and downstream data distribution
- Work with workflow orchestration tools (Tidal / Apache Airflow or equivalent) to manage scheduling, dependencies, and failure handling
- Support DEV → UAT → PRD pipeline promotions including code review, testing, and environment validation
- Monitor production jobs, triage failures, and resolve data quality incidents within agreed SLAs
- Work with AWS S3 for data lake storage, file-based ingestion, and cross-system data movement
- Write clean, maintainable PySpark and SQL code following established coding standards and best practices
Knowledge Transfer & Documentation
- Conduct structured, hands-on knowledge transfer sessions with the client's junior data engineers — covering pipeline architecture, business logic, operational procedures, and troubleshooting approaches
- Create and maintain clear technical documentation: SOPs, runbooks, Source-to-Target Mappings (STTMs), Technical Design Documents (TDDs), and data dictionaries
- Validate that the client's engineers can independently execute day-to-day operations before sign-off at each transition milestone
- Participate actively in sprint-based delivery cycles — sprint planning, daily standups, sprint reviews, and retrospectives
Incident & Change Management Support
- Respond to and resolve L2/L3 data incidents during the transition and hypercare period within agreed timelines
- Support change requests by assessing pipeline impact, implementing changes, and conducting appropriate testing
- Follow ITIL-aligned incident and change management processes as defined by the Senior Transition Manager
- Track and report incident resolution status to the Transition Manager
Collaboration & Coordination
- Work closely with the Senior Transition Manager on workstream planning, daily progress, and status reporting
- Collaborate with client technology team members for requirement clarification, walkthroughs, and delivery sign-offs
- Coordinate with the internal Axtria team for pipeline context, code walkthroughs, and parallel-run support
- Proactively flag risks, blockers, and dependencies to the Transition Manager
Job Requirements: -
- Overall 3–5 years of hands-on experience in data engineering
- Strong proficiency in Databricks — Delta Lake, PySpark, Databricks Workflows, and notebook-based development
- Experience building and maintaining ETL/ELT pipelines in a production environment
- Proficiency in SQL and Python for data transformation and pipeline logic
- Exposure to workflow orchestration tools — Tidal, Apache Airflow, or equivalent
- Experience with cloud storage and data movement — AWS S3 preferred
- Ability to write clear, structured technical documentation (SOPs, runbooks, STTMs, TDDs)
- Good communication skills — comfortable explaining technical concepts to less experienced peers and non-technical stakeholders
- Experience working in Agile / Scrum delivery teams
- Understanding of data quality frameworks and basic incident/change management practices
Qualification: -
- BE / B.Tech / M.Tech / MBA
Must Have Skills: -
- Hands-on Databricks experience — PySpark, Delta Lake, and Databricks Workflows
- Strong SQL and Python skills for data engineering use cases
- Experience building and operating ETL/ELT pipelines in a production environment
- Ability to create and maintain technical documentation (SOPs, runbooks, STTMs)
- Good verbal and written communication skills in English
Skills That Give You an Edge: -
- Databricks certification (Associate level or above)
- Experience with Informatica BDM or IICS
- Familiarity with ITIL-aligned incident and change management processes
- Exposure to pharma commercial data — HCP/account data, sales data, claims, or omnichannel datasets
- Experience with ServiceNow for incident management
- Experience in a knowledge transfer or mentoring role
- Good to have work experience in building statistical or AI/ML models using Python, PySpark, or related libraries
We Will Provide – (Employee Value Proposition)
- Offer an inclusive environment that encourages diverse perspectives and ideas
- Deliver challenging and unique opportunities to contribute to the success of a transforming organization
- Opportunity to work on technical challenges that may impact across geographies
- Vast opportunities for self-development: online Axtria Institute, knowledge sharing opportunities globally, learning opportunities through external certifications
- Sponsored Tech Talks & Hackathons
- Possibility to relocate to any Axtria office for short and long-term projects
- Benefit package: Health benefits, Retirement benefits, Paid time off, Flexible Benefits, Hybrid / FT Office / Remote
Axtria is an equal-opportunity employer that values diversity and inclusiveness in the workplace. 
