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Bristol-Myers Squibb

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4.2

based on 119 Reviews

91 Bristol-Myers Squibb Jobs

Software Engineer II- Data Solutions

BRISTOL-MYERS SQUIBB INDIA PVT.LTD.

4.2

based on 119 Reviews

1-5 years

Hyderabad / Secunderabad

1 vacancy

Software Engineer II- Data Solutions

Bristol-Myers Squibb

posted 7hr ago

Job Role Insights

Flexible timing

Key skills for the job

Computer Science Data Analysis SQL Operations Information Technology Life Sciences

+ 4 more

Job Description

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Job Title*

Software Engineer II- Data Solutions

Grade

Software Engineer - EG_90

Location

Hyderabad, India

Division

Information Technology, GPS Data and Analytics Enablement

Position Summary

The GPS Data & Analytics Sr. Software Engineer role is accountable for developing data solutions and operations support of the Enterprise data lake. The role will be accountable for developing the pipelines for the data enablement projects, production/application support and enhancements, and support data operations activities. Additional responsibilities include data analysis, data operations process and tools, data cataloguing, and developing data SME skills in Global Product Development and Supply - Data and Analytics Enablement organization.

Deliver lead/head - Hyderabad

Position Responsibilities*

Key Responsibilities:

The Data Engineer will be responsible for designing, building, and maintaining the data products, evolution of the data products, and utilize the most suitable data architecture required for our organizations data needs to support GPS
Responsible for delivering high quality, data products and analytic ready data solutions
Develop and maintain data models to support our reporting and analysis needs
Optimize data storage and retrieval to ensure efficient performance and scalability
Collaborate with data architects, data analysts and 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 and maintain security protocols to protect sensitive data
Stay up-to-date with emerging trends and technologies in data engineering and analytics
Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics focused digital capabilities
Develop cloud-based (AWS) data pipelines to facilitate data processing and analysis
Define data operations support (example: Access management) and experience with the supporting tools
Build e-2-e data ETL pipelines from data integration -> data processing -> data integration -> visualization
Proficient in Python, Spark, SQL, AWS Redshift/DBs, S3, Glue/Glue-Studio.
Good to have Athena/Any Metadata platform (Like CDP-Impala or Okera), IAM, CFT & other Native AWS Service familiarity with Domino/data lake principles.
Familiarity and experience with Cloud infrastructure management and work closely with the Cloud engineering team
Participate in effort and cost estimations when required
Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements
Architect and develop data solutions according to legal and company guidelines
Assess system performance and recommend improvements
Responsible for maintaining of data acquisition/operational focused capabilities including: Data Catalog; User Access Request/Tracking; Data Use Request

Desired Experience*

Required:

3-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems
Deeper understanding of cloud technologies preferably AWS and related services in delivering and supporting data and analytics solutions/data lakes
3-5 years of experience with operations and production support, and optimizing the supporting process
Atleast 1-2 years of experience in an onshore offshore delivery model
Solid programming skills in Python and Spark and strong proficiency in Cloud - AWS
Knowledge of data security and privacy best practices

Ideal Candidates Would Also Have:

Prior experience in global life sciences especially in the GPS functional area will be a plus
Experience working internationally with a globally dispersed team including diverse stakeholders and management of offshore technical development team(s)
Strong communication and presentation skills

Other Qualifications: