Data Solutions Engineer II , Enabling Functions Data
Hyderabad - TS - IN
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild AWS cloud-native data lakes and data ecosystems
Build and manage scalable data pipelines on Databricks
Provide production support for data systems
Tune Databricks cluster and job performance
From the employer’s posting
developing AWS cloud native data lakes and ecosystems
for building and managing scalable data pipelines
including some production support experience
cluster and job configuration, performance tuning
What you’ll bring
All qualificationsCore experience
- 3-5 years in IT developing AWS cloud-native data lakes
- Solid Python and Spark programming skills
- At least 1-2 years in onshore-offshore delivery model
- Experience with SQL and databases such as MySQL or PostgreSQL
Preferred experience
- Excellent communication and collaboration skills Functional knowledge or prior experience in Enterprise Functions is a plus.
Qualification wording
3-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems
Solid programming skills in Python and Spark
Atleast 1-2 years of experience in an onshore offshore delivery model
Experience with SQL and database technologies such as MySQL, PostgreSQL etc.
Excellent communication and collaboration skills Functional knowledge or prior experience in Enterprise Functions is a plus.
Tools in this posting
- Python
- SQL
- AWS
- Databricks
- Delta Lake
- MySQL
- PostgreSQL
- Redshift
- Spark
- PySpark
- PyTorch
Source — Tool mentions in context
- Hands on experience with programming and analytics capabilities using some AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, Postgres DB etc.) is required . - Programming skills in languages such as Python, Pytorch, etc. - Atleast 1-2 years of experience in an onshore offshore delivery model
- 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
- Knowledge of data security and privacy best practices - Experience with SQL and database technologies such as MySQL, PostgreSQL etc. - Comfortable working in a dynamic global environment
- Hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Databricks Workflows for building and managing scalable data pipelines. - Strong experience in Databricks development and optimization, including PySpark/SQL, cluster and job configuration, performance tuning, and implementing production-grade data pipelines. 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.
Qualifications & Experience - 3-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems including some production support experience - Hands on experience with programming and analytics capabilities using some AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, Postgres DB etc.) is required .
- 3-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems including some production support experience - Hands on experience with programming and analytics capabilities using some AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, Postgres DB etc.) is required . - Programming skills in languages such as Python, Pytorch, etc.
- Demonstrates a focus on improving processes, structures, and knowledge within the team. - Hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Databricks Workflows for building and managing scalable data pipelines. - Strong experience in Databricks development and optimization, including PySpark/SQL, cluster and job configuration, performance tuning, and implementing production-grade data pipelines.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 7, 2026 · 52 days ago
- Recorded sightings
- 146
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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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.
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.
#HYDIT #LI-Hybrid
Qualifications & Experience
- 3-5 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems including some production support experience
- Hands on experience with programming and analytics capabilities using some AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, Postgres DB etc.) is required .
- Programming skills in languages such as Python, Pytorch, etc.
- 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
- Experience with SQL and database technologies such as MySQL, PostgreSQL etc.
- Comfortable working in a dynamic global environment
- Excellent communication and collaboration skills Functional knowledge or prior experience in Enterprise Functions is a plus.
- Demonstrates a focus on improving processes, structures, and knowledge within the team.
- Hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Databricks Workflows for building and managing scalable data pipelines.
- Strong experience in Databricks development and optimization, including PySpark/SQL, cluster and job configuration, performance tuning, and implementing production-grade data pipelines.
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 workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. 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/
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.
Source details
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- Pay
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- Location & working pattern
Hyderabad - TS - IN
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. #HYDIT #LI-Hybrid Qualifications & Experience
More source context
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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