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[HIRING WEEK] Senior Data Engineer (Databricks)
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Work authorization
- No visa sponsorship
What you’ll work on
Full postingDevelop, maintain and support ETL/ELT solutions
Own end-to-end delivery of ingestion and transformation pipelines on Azure Databricks
Use SQL, PySpark or Scala to transform and analyze large datasets
Mentor junior engineers
Create technical documentation for the project
From the employer’s posting
Develop, maintain and support ETL/ELT solutions
Own end-to-end delivery of data ingestion + transformation pipelines on Azure Databricks
Use SQL, PySpark or Scala to transform and analyze large datasets
Mentoring junior engineers
Create technical documentation related to the project
What you’ll bring
All qualificationsCore experience
- At least 5 years of data integration experience
- Proficient in Databricks and ETL/ELT solutions
- Strong SQL/Python and data modeling fundamentals
- Delta Lake concepts (tables, partitions, schema evolution)
- Excellent written and verbal English communication
Qualification wording
At least 5 years of experience and strong experience in Data Integration
proficient in Databricks and ETL/ELT Solutions
Strong SQL/Python, data modeling fundamentals (dimensional / Lakehouse modeling)
Experience with Delta Lake concepts (tables, partitions, schema evolution)
Excellent verbal and written communication skills in English
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Scala
- SQL
- AWS
- Azure
- Databricks
- Delta Lake
- Power BI
- PySpark
Where the posting names them
We are looking for an experienced Senior Data Integration Engineer specializing in Databricks to join our team. As a key member of the team, you will lead the design of enterprise digital products and platforms that deliver value to users and achieve business goals. You will collaborate with various stakeholders and contribute to creating engaging and delightful solutions by leveraging your design skills and methods. Come and join us to promote the role of design and achieve positive design outcomes. * Terms and Conditions apply. Responsibilities Develop, maintain and support ETL/ELT solutions Implement and manage Databricks on Microsoft Azure or AWS Cloud platforms Use SQL, PySpark or Scala to transform and analyze large datasets Own end-to-end delivery of data ingestion + transformation pipelines on Azure Databricks Works independently with minimal supervision Mentoring junior engineers Work collaboratively with the team on Microsoft Power BI Ensure the adherence to best practices in development, testing and deployment Create technical documentation related to the project Requirements At least 5 years of experience and strong experience in Data Integration, proficient in Databricks and ETL/ELT Solutions Strong SQL/Python, data modeling fundamentals (dimensional / Lakehouse modeling), incremental processing, data transformation and analysis Experience with Delta Lake concepts (tables, partitions, schema evolution) Familiarity with cloud platforms (Azure, AWS) Have hands-on experience developing data pipelines on Databricks, integrating data from multiple sources, and working closely with analytics, data science and business teams to deliver reliable, high-quality data products Knowledge of data ingestion techniques and data integration best practices Orchestration experience (Databricks Workflows; ADF/Airflow is a plus) Excellent verbal and written communication skills in English Nice to have Bachelor’s degree, ideally in Computer Science, Information Technology, or a related discipline
Your next step
Complete your application on careers.epam.com. The employer’s form will show what is required.
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Job description
We are looking for an experienced Senior Data Integration Engineer specializing in Databricks to join our team. As a key member of the team, you will lead the design of enterprise digital products and platforms that deliver value to users and achieve business goals. You will collaborate with various stakeholders and contribute to creating engaging and delightful solutions by leveraging your design skills and methods. Come and join us to promote the role of design and achieve positive design outcomes. * Terms and Conditions apply. Responsibilities Develop, maintain and support ETL/ELT solutions Implement and manage Databricks on Microsoft Azure or AWS Cloud platforms Use SQL, PySpark or Scala to transform and analyze large datasets Own end-to-end delivery of data ingestion + transformation pipelines on Azure Databricks Works independently with minimal supervision Mentoring junior engineers Work collaboratively with the team on Microsoft Power BI Ensure the adherence to best practices in development, testing and deployment Create technical documentation related to the project Requirements At least 5 years of experience and strong experience in Data Integration, proficient in Databricks and ETL/ELT Solutions Strong SQL/Python, data modeling fundamentals (dimensional / Lakehouse modeling), incremental processing, data transformation and analysis Experience with Delta Lake concepts (tables, partitions, schema evolution) Familiarity with cloud platforms (Azure, AWS) Have hands-on experience developing data pipelines on Databricks, integrating data from multiple sources, and working closely with analytics, data science and business teams to deliver reliable, high-quality data products Knowledge of data ingestion techniques and data integration best practices Orchestration experience (Databricks Workflows; ADF/Airflow is a plus) Excellent verbal and written communication skills in English Nice to have Bachelor’s degree, ideally in Computer Science, Information Technology, or a related discipline
Source details
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- Location & working pattern
Malaysia
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- Work authorization
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