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Lead Data Software Engineer
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop end-to-end data solutions for complex business demands
Design scalable, efficient systems using Spark, Python, Azure and AWS
Ensure performance, security and scalability of data applications
Work with cross-functional teams to scope project needs
Keep up with emerging data trends to improve development practices
From the employer’s posting
Develop end-to-end Data solutions tailored to complex business demands
Utilize knowledge of Apache Spark, Python, Azure and AWS to design scalable and efficient systems
Ensure the performance, security and scalability of Data applications
Collaborate with cross-functional teams to understand project needs
Stay updated on emerging trends and innovations in Data technologies to improve development practices
What you’ll bring
All qualificationsCore experience
- 8-12 years of strong experience in data and related technologies
- Expertise in Apache Spark
- Proficiency in Hadoop and Hive
- Skills in Python
- Competency with native cloud data services such as AWS and Azure
Qualification wording
8-12 years of strong experience in Data and related technologies
Expertise in Apache Spark
Proficiency in Hadoop and Hive
Skills in Python
Competency in using native Cloud data services such as AWS and Azure
Tools in this posting
- Python
- AWS
- Azure
- Docker
- Hadoop
- Hive
- Kubernetes
- Power BI
- Spark
- Tableau
Source — Tool mentions in context
We are looking for an experienced Lead Data Software Engineer to join our dynamic team and address rewarding challenges. As a Lead Engineer, you will play a key role in designing and delivering Data solutions across diverse projects. The ideal candidate should have significant expertise in Data and associated technologies, particularly Apache Spark, Python, Azure and AWS. Responsibilities Develop end-to-end Data solutions tailored to complex business demands Collaborate with cross-functional teams to understand project needs and ensure exceptional software solutions Utilize knowledge of Apache Spark, Python, Azure and AWS to design scalable and efficient systems Ensure the performance, security and scalability of Data applications Stay updated on emerging trends and innovations in Data technologies to improve development practices Requirements 8-12 years of strong experience in Data and related technologies Expertise in Apache Spark Proficiency in Hadoop and Hive Skills in Python Competency in using native Cloud data services such as AWS and Azure Nice to have Background in machine learning algorithms and methods Proficiency in data visualization tools like Tableau or Power BI Familiarity with real-time data processing frameworks like Apache Flink or Apache Storm Capability to work with containerization technologies such as Docker or Kubernetes Technologies Hadoop Hive
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
- Employer says posted
- Sep 29, 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.
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Has EPAM Systems posted this job before?
Yes. We’ve followed 15 other Lead Data Software Engineer jobs there since November 2026. All 15 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Job description
We are looking for an experienced Lead Data Software Engineer to join our dynamic team and address rewarding challenges. As a Lead Engineer, you will play a key role in designing and delivering Data solutions across diverse projects. The ideal candidate should have significant expertise in Data and associated technologies, particularly Apache Spark, Python, Azure and AWS. Responsibilities Develop end-to-end Data solutions tailored to complex business demands Collaborate with cross-functional teams to understand project needs and ensure exceptional software solutions Utilize knowledge of Apache Spark, Python, Azure and AWS to design scalable and efficient systems Ensure the performance, security and scalability of Data applications Stay updated on emerging trends and innovations in Data technologies to improve development practices Requirements 8-12 years of strong experience in Data and related technologies Expertise in Apache Spark Proficiency in Hadoop and Hive Skills in Python Competency in using native Cloud data services such as AWS and Azure Nice to have Background in machine learning algorithms and methods Proficiency in data visualization tools like Tableau or Power BI Familiarity with real-time data processing frameworks like Apache Flink or Apache Storm Capability to work with containerization technologies such as Docker or Kubernetes Technologies Hadoop Hive
Source details
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- Pay
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- Location & working pattern
India
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- Work authorization
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