Senior Manager/ Lead/ Manager- Data Engineer

Hi ,

We have a opening in MSD for Senior Manager/ Lead Data /Manager Data Engineer. It will be a F2F scheduled interview on 26th August 2025 in Hyderabad.

Manager- 3 years to 6 Years

Senior manager/ Lead- 7 years+

Please apply:

JD:

The Opportunity

Based in Hyderabad, join a global healthcare biopharma company and be part of a 130-year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products.

Drive innovation and execution excellence. Join a team that is passionate about using data, analytics, and insights to drive decision-making and create custom software, allowing us to tackle some of the world's greatest health threats.

Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company's IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy.

A focused group of leaders in each Tech Center helps ensure we can manage and improve each location, from investing in the growth, success, and well-being of our people to making sure colleagues from each IT division feel a sense of belonging, to managing critical emergencies. Together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers.

Role Overview

Design, develop, and maintain data pipelines to extract data from various sources and populate a data lake and data warehouse.

Work closely with data scientists, analysts, and business teams to understand data requirements and deliver solutions aligned with business goals.

Build and maintain platforms that support data ingestion, transformation, and orchestration across various data sources, both internal and external.

Use data orchestration, logging, and monitoring tools to build resilient pipelines.

Automate data flows and pipeline monitoring to ensure scalability, performance, and resilience of the platform.

Monitor, troubleshoot, and resolve issues related to the data integration platform, ensuring uptime and reliability.

Maintain thorough documentation for integration processes, configurations, and code to ensure easy onboarding for new team members and future scalability.

Develop pipelines to ingest data into cloud data warehouses.

Establish, modify and maintain data structures and associated components.

Create and deliver standard reports in accordance with stakeholder needs and conforming to agreed standards.

Work within a matrix organizational structure, reporting to both the functional manager and the project manager.

Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals.

What should you have

Bachelors degree in information technology, Computer Science or any Technology stream.

8+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context.

Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement.

Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools).

Ability to design, build and unit test applications on  Pyspark for both batch and streaming requirements, which will require in-depth knowledge on Databricks.

Experience working with storage frameworks like Delta Lake/ Iceberg

Experience working with MPP Datawarehouses like Redshift

Cloud-native, ideally AWS certified.

Strong working knowledge of at least one Reporting/Insight generation technology

Good interpersonal and communication skills (verbal and written).

Proven record of delivering high-quality results.

Product and customer-centric approach.

Innovative thinking, experimental mindset.

Mandatory Skills

Skill Category

Skills

Foundational Data Concepts

SQL (Intermediate / Advanced)

Python (Intermediate)

Cloud Fundamentals (AWS Focus)

AWS Console, IAM roles, regions, concept of cloud computing

AWS S3

Data Processing & Transformation

Apache Spark (Concepts & Usage)

Databricks (Platform Usage), Unity Catalog, Delta Lake

Data Storage & Querying

Amazon Redshift / Azure Synapse

Trino / Equivalent

AWS Athena / Query Federation

Data Quality & Governance

Data Quality Concepts / Implementation

Data Observability Concepts

Collibra / equivalent tool

DevOps & Automation

CI / CD concepts, Pipelines

(GitHub Actions / Jenkins / Azure DevOps)