Lead Data Engineer

Dr. Reddy's Laboratories; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Joining & relocation support

Medical coverage for you and family

Learning & development opportunities

Job summary

Dr. Reddy’s Laboratories is seeking a Lead Data Engineer to design and modernize cloud-native data platforms on Google Cloud.

You will own data architecture, model data, and lead migration from legacy ETL to modern tools, delivering reusable data products for analytics and AI use cases. The role covers data lake/warehouse/lakehouse design, governance, and partnership with business, analytics, and IT stakeholders.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, IT, or a related field.
• Proven experience leading legacy ETL modernization or cloud migration programs.
• GCP or Informatica certification preferred.
• Experience in pharma, life sciences, or large enterprise setting is a plus.

Responsibilities

• Design scalable data architectures across data lake, warehouse, and lakehouse layers on GCP.
• Lead data modeling (dimensional, canonical, and domain-driven) to deliver reusable, well-governed data products.
• Lead migration of legacy ETL platforms to cloud-native tools like Airflow, IICS, and PySpark.
• Develop batch and near-real-time pipelines using BigQuery, Cloud Composer/Airflow, Informatica IICS, and GCP services.

Skills

GCP

Informatica IICS

Airflow

PySpark

BigQuery

Data Modeling

Data Governance

AI Enablement

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

Informatica IICS

SAP BODS

Talend

Job description

Job Description:

Company Description

Dr. Reddy’s Laboratories Ltd. is a leading multinational pharmaceutical company based across global locations. Each of our 24,000 plus employees comes to work every day for one collective purpose: to accelerate access to affordable and innovative medicines because Good Health Can’t Wait.

We started in 1984 with a modest investment, 20 employees and a bold vision. Today, we have research and development centres, manufacturing facilities or a commercial presence in 66 countries.

For nearly four decades, we have stood for access, affordability and innovation based on the bedrock of deep science, progressive people practices and robust corporate governance. As the pharmaceutical industry evolves and undergoes disruption, we see an opportunity – to strengthen our core further (the next steps) and to build the future (the new bets).

‘The Next and the New’ is how we aim to continue to be the partner of choice – purpose-driven, future-ready and sustainable. Our aim is to reach over 1.5 Bn+ patients across the world by 2030 by growing our core businesses and building for the future with sustainability at the core of our purpose and strategy. Sustainability for us means operating in a manner that respects people, planet and purpose – helping us conserve precious resources, serve our patients, create value for stakeholders, give back to society, fulfil our potential and maintain our integrity and transparency

Dr Reddy’s maintains a work environment, free from discrimination and is an equal opportunity employer. We are committed to employ & nurture all qualified diverse workforce without regard to race, colour religion, nationality, sex, age, disability status, genetics, sexual orientation, gender expression, citizenship or any other characteristic or classification protected by applicable law(s) of the country we operate in. We treasure every talent, and recognize merit and diversity in our organization.

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Job Description

Role Summary

We are looking for a Lead Data Engineer to design, build, and modernize DRL's cloud-native data platforms on Google Cloud. The role goes beyond pipeline development: the candidate will own data architecture and modeling, lead the move from legacy ETL platforms to modern cloud-native tools, and set engineering standards across internal and vendor teams. The ideal candidate combines strong hands-on skills in GCP, Informatica IICS, and Airflow with the leadership to deliver reusable, business-ready data products that support analytics and AI use cases.

Data Architecture & Data Products

• Design scalable data architectures across data lake, warehouse, and lakehouse layers on GCP.
• Lead data modeling (dimensional, canonical, and domain-driven) to deliver reusable, well-governed, business-ready data products.

Platform Modernization & Migration

• Lead the assessment, planning, and execution of migrating legacy ETL platforms (e.g., SAP BODS) to cloud-native tools such as Airflow, IICS, and PySpark.
• Define target-state architecture, migration roadmaps, and validation and reconciliation approaches to keep business running without disruption.

Cloud-Native Data Engineering

• Design and build batch and near-real-time pipelines using BigQuery, Cloud Composer/Airflow, Informatica IICS, and GCP services.
• Integrate data from enterprise sources, including SAP, using the right mix of tools and patterns.
• Optimize performance, scalability, and GCP cost.

DataOps & AI-Enabled Engineering

• Put in place CI/CD, automated testing, data quality checks, and observability for data pipelines.
• Drive automation to reduce manual operational effort and incident volumes.
• Adopt AI-assisted development practices (e.g., code generation, code migration, and automated documentation) to speed up delivery.

Leadership & Governance

• Set and enforce data engineering standards, design patterns, and best practices across teams.
• Run architecture and code reviews, and provide technical governance for internal and vendor-delivered work.
• Manage vendor and managed service partners, including delivery oversight, quality, and SLAs.
• Work with business, analytics, and IT stakeholders to turn requirements into scalable data solutions.
• Mentor engineers and build technical capability within the team.

Technical Skills

• Cloud Platform:GCP – BigQuery, GCS, Cloud Composer/Airflow, Dataproc, Cloud Functions, Pub/Sub, IAM
• Data Integration:Informatica IICS (CDI/CAI), Airflow, PySpark; SAP BODS, Talend, or similar tools
• Programming:Advanced SQL, Python, PySpark
• Data Modeling & Architecture:Dimensional modeling, data vault, lakehouse architecture, data product design
• DataOps:Git, CI/CD, automated testing, pipeline observability, Terraform (preferred)
• Data Governance:Data quality, metadata, lineage, cataloging, RBAC, and data security
• AI Enablement:AI-assisted development tools, and experience preparing data for GenAI/LLM and agent-based use cases

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, IT, or a related field.
• Proven experience leading legacy ETL modernization or cloud migration programs.
• GCP or Informatica certification preferred.
• Experience in pharma, life sciences, or a large enterprise setting is a plus.

Additional Information

Benefits Offered

At Dr. Reddy’s we actively help to catalise your career growth and professional development through personalised learning programs.

The benefits you will enjoy at Dr. Reddy’s are on par with the best industry standards. They include, among other things and other essential equipment, joining & relocation support, family support (Maternity & Paternity benefits), learning and development opportunities, medical coverage for yourself and your family, life coverage for yourself.

\" Our Work Culture

Ask any employee at Dr. Reddy’s why they come to work every day and they’ll say, because Good Health Can’t Wait. This is our credo as well as the guiding principle behind all our actions. We see healthcare solutions not only as scientific formulations, but as a means to help patients lead healthier lives, and we’re always attuned to the new and the next to empower people to stay fit. And to do this, we foster a culture of empathy and dynamism. People are at the core of our journey over the last few decades. They have been supported by an enabling environment that buoys individual ability while fostering teamwork and shared success. We believe that when people with diverse skills are bound together by a common purpose and value system, they can make magic.

For more details, please visit our career website at https://careers.drreddys.com/#!/

• Job Family: Analytics
• Sub Job Family: Data Engineering
• Preferred type of working: On-Premise
• Years of Experience: 6 - 12
• Business unit: Corporate