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Abbott Vascular
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Mumbai · Hybrid · 2-5 Yrs · Oct 13
1 open role0 posted in 7d1 in 30d
Hiring: Engineering
Job description
Hybrid
Overview
Data Engineer u2013 Commercial Enablement
Responsibilities
- Building and maintaining ingestion and transformation pipelines across multiple source systems
- Handling the messy stuff: late data, backdated corrections, restated months, duplicates
- Working on the commercial data model, including keeping history accurate when sales territories, managers, products or reporting lines change
- Putting data quality checks, monitoring and alerts in place so problems are caught before they reach a payout or a leadership review
- Troubleshooting when something breaks or two numbers don't match, finding the root cause, and fixing it properly
- Writing things down so the next person can understand them
- Tuning queries and storage as we scale from a regional rollout to all of India
- Moving legacy data onto our cloud platform
- Reviewing what our vendors build and pushing back when it isn't good enough
- Working with our IT team on infrastructure, security and access
- You started on the business side (sales analytics, inventory, ERP) and moved into data engineering
- You're a data analyst or data scientist who ended up building the pipelines behind your own work and found you liked that part more
- You're a data engineer who wants to be closer to the business and the people using your work
Qualifications
- Strong SQL. Comfortable with window functions and CTEs, and able to work out why a query is slow
- Python for transformation and validation work
- Experience building and running batch pipelines in production
- Hands-on experience with at least one major cloud data platform. We don't mind which one
- A working understanding of dimensional modelling: star schemas, grain, slowly changing dimensions
- Git, and some familiarity with testing and deploying changes to data pipelines
- Spark or another distributed processing framework
- Experience with an orchestration tool
- Enough experience with a BI tool to build datasets that reports can actually run on
- Streaming pipelines
- Experience in pharma, healthcare, BFSI or another regulated industry
- Some exposure to forecasting or predictive models, so you understand what downstream users need from your data
- Experience migrating legacy systems to the cloud
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Job application FAQ
Last updated 20 October 2026
- How do I apply for Data Engineer \u2013 Commercial Enablement at Abbott Vascular?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Abbott Vascular may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer \u2013 Commercial Enablement role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer \u2013 Commercial Enablement remote or on-site in Mumbai, Maharashtra?
- This listing is marked hybrid with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer \u2013 Commercial Enablement role at Abbott Vascular?
- This is a mid-level Data Engineer \u2013 Commercial Enablement role. Key skills include Hybrid. Feedback AI highlights matched vs missing skills on your profile after signup.