Data Engineer

Bristol Myers Squibb; Hyderabad; On-site; INR 2,000,000 - 2,800,000; Full time

Job summary

Bristol Myers Squibb is seeking a Data Engineer in Hyderabad to develop and maintain ETL/ELT pipelines, ingesting data from diverse sources into a robust data warehouse. You will collaborate with data architects, analysts, and scientists to ensure scalable, high-quality data infrastructure.

The role emphasizes end-to-end ownership, security, and adopting emerging data technologies in a fast-paced, Agile environment. Remote-by-design options may apply for certain tasks.

Qualifications

• 3-5 years hands-on experience implementing and operating data capabilities in cloud environments.
• Expertise in Databricks.
• Experience designing real-time data ingestion pipelines in AWS.
• Experience with AWS data services (Redshift, Athena, Lake Formation).

Responsibilities

• Develop and maintain ETL/ELT pipelines ingesting data into the data warehouse.
• Own end-to-end data initiatives and drive them to completion.
• Optimize data storage and performance for scalability.
• Collaborate with data architects, analysts and data scientists to meet data needs.
• Ensure data quality and integrity through validation and testing.
• Implement and maintain data security protocols.
• Stay updated with data engineering trends and technologies.
• Partner with Enterprise Data and Analytics teams to enable data strategy adoption.
• Work in a fast-paced, Agile/Product-based environment.

Skills

Data engineering

ETL/ELT

AWS

Databricks

Python

SQL

CI/CD (GitHub Actions)

Data quality

Agile

Cloud data platforms

Tools

Databricks

AWS

CloudFormation

GitHub Workflows

boto3

S3

Glue

Redshift

Athena

Job description

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Key Responsibilities

• The Data Engineer willbe responsible fordevelopingand maintainingETL/ELTpipelines for ingesting data from various sources into our data warehouse.

• Work with an end-to-end ownership mindset, innovate and drive initiatives through completion.

• Optimizedata storage and retrieval to ensure efficient performance and scalability

• Collaborate withdata architects,dataanalystsand data scientists to understand their data needs and ensure that the data infrastructure supports their requirements

• Ensure data quality and integrity through data validation and testing

• Implement andmaintainsecurity protocols to protect sensitive data

• Stayup-to-datewith emerging trends and technologies in data engineering and analytics

• Closely partner with the Enterprise Data and Analytics Platform team, other functional datateamsand Data Community lead toenableadoption ofdata and technology strategy.

• Knowledgeablein evolving trends inData platforms and Product based implementation

• Comfortable working in a fast-paced environmentwith minimal oversight

• Prior experience working in an Agile/Product basedenvironment.

Qualifications & Experience

• 3-5years of hands-on experience working on implementing and operating data capabilities andcutting-edgedata solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including datalakehouses, master/reference data management, data quality and analytics/AI ML is needed.

• Expertisein Databricks

• Expertisein designing and building real time data ingestion data pipelines in AWS

• Expertisein CloudFormation

• Developing and using Custom Resources in CFTs

• Expertisein developing GitHub Workflows & integrating GitHub workflows with AWS

• Expertisewith using boto3apisfor Lambda, S3, Glue, Crawlers, Data Zone (preferred)

• Expert in building APIs using AWS services

• In-depth knowledge and hands-on experience with ASW Glue services and AWS Dataengineeringecosystem.

• Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena,lakeformation, etc.), Cloudera Data Platform, Tableau labs is a plus

• 5+ years of experience in data engineering or software development

• Create andmaintainoptimaldata pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes,optimizingdata delivery, re-designing infrastructure for greater scalability, etc.

• Strong programming skills in languages such as Python, R,PyTorch,PySpark, Pandas,Scalaetc.

• Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, etc.

• Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform

• Strong analytical and problem-solving skills

• Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus

• Experience andexpertiseinestablishingagile and product-oriented teams that work effectively with teams inUSand other global BMSsite.

• Initiateschallenging opportunities that build strong capabilities for self and team

• Demonstratesa focuson improvingprocesses, structures, and knowledge within the team.Leads in analyzingcurrent states, deliver strong recommendationsin understanding complexity in the environment, and the abilityto executeto bring complex solutions tocompletion.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplaceaccommodations/adjustmentsand ongoing support in their roles. Applicants can request a reasonable workplaceaccommodation/adjustmentprior to accepting a job offer. If you require reasonableaccommodations/adjustmentsin completing this application, or in any part of the recruitment process, direct your inquiries to [e-mail]. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only: If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

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