Executive - Commercial Enablement

Thornton Tomasetti; Mumbai; On-site; INR 1,500,000 - 1,900,000; Full time

Job summary

Abbott India is seeking a data engineer to build and maintain data pipelines powering sales, CRM and analytics. You will own production pipelines, ensure data quality, and collaborate with the product and IT teams to keep data flows reliable and scalable.

You will work with SQL, Python, cloud platforms and BI tools to deliver accurate datasets for dashboards and leadership reviews across India, including Mumbai.

Qualifications

• Strong SQL, including window functions and performance considerations.
• Proficiency in Python for data transformation and validation.
• Experience building and running batch data pipelines in production.
• Hands-on with at least one major cloud data platform.
• Understanding of dimensional modelling: star schemas, grain, slowly changing dimensions.
• GIT version control and basic testing/deploy practices.

Responsibilities

• Build and maintain ingestion and transformation pipelines from multiple sources.
• Ensure data quality checks, monitoring and alerts to protect payouts and leadership reviews.
• Triage and root-cause production data issues and fix data pipelines.
• Document data flows and decisions for knowledge transfer.

Skills

Strong SQL

Python

Batch pipelines

Cloud data platform

Dimensional modelling

Git

Testing & deployment

Tools

Spark

Orchestration tool

BI tool

Cloud platforms

Job description

We're the Commercial Enablement team at a large pharmaceutical company in India. We build and run the digital products our field force uses every day: sales performance tracking, incentive calculations, distributor and channel platforms, and the reporting that leadership looks at every week. All of it runs on data, and we need people to build and look after that data layer properly.

What the job is

You’ll build the pipelines that pull data from our sales, CRM, HR and external market sources, clean it up, model it, and make it available to dashboards and applications. Then you’ll keep them running. This isn’t a project role where you hand over and move on. You’ll own what you build once it’s in production. You’ll sit inside the product team, not in a central IT function. That means you’ll hear directly from the people using the numbers, you’ll be part of the discussion when requirements are set, and you’ll know when something you built is being used in a leadership review.

What you’ll own

• 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

What you’ll get exposure to as you grow

• 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

Who we’re looking for

2 to 4 years working with data, including at least a year of hands‑on work building or maintaining production pipelines that people depend on. You’ve worked with large datasets and you’ve had to make something faster or more reliable. You don’t need an engineering degree. Some of the best people we’ve come across in this space started in commerce, finance or economics and moved into data through certifications or simply by doing the work. If you’ve built real pipelines, we’d like to hear from you.

You may be a good fit if

• 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

Must have

• 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

Good to have

• 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

The right person is careful about getting numbers right, comfortable telling a stakeholder something isn’t ready yet, able to explain a technical problem without jargon, and happy to take real ownership in a small team.

What we’d expect

In your first three months, get to know how data flows through our systems and take over at least one production pipeline. By six months, have quality checks and monitoring running on everything you own. By the end of your first year, you should be independently owning a meaningful part of the commercial data model and contributing to its rollout across India. A lot of what this team produces ends up in people’s incentive payouts and in leadership reviews. When the data is wrong, people notice. We need someone who takes that seriously.

The base pay for this position is N/A

In specific locations, the pay range may vary from the range posted.

JOB FAMILY: Sales Support & Administration DIVISION: EPD Established Pharma LOCATION: India > Mumbai : BKC Building ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Not specified MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)

Abbott is about the power of health. For more than 135 years, Abbott has been helping people reach their potential - because better health allows people and communities to achieve more. With a diverse, global network serving customers in more than 160 countries, we create new solutions - across the spectrum of health, around the world, for all stages of life. Whether it’s next-generation diagnostics, life-changing devices, science-based nutrition, or novel reformulations, we are advancing some of the most innovative and revolutionary technologies in healthcare, helping people live their best lives through better health.

The people of Abbott come to work each day with relentless energy, enthusiasm and a promise to enhance the health and well-being of millions of people. They push the boundaries to help manage and treat some of life’s greatest health challenges.

We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings.

An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce.

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