Python and Apache Spark Big Data Engineer - Assistant Vice President
Pune Maharashtra India
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Time Type: Full time------------------------------------------------------ Most Relevant Skills
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain reusable Python/Scala code
Develop high-performance, low-latency components to run Spark clusters
Identify bottlenecks and bugs, and devise solutions
Process data using Hive, Impala and HBase
Translate functional requirements into Big Data platform designs
From the employer’s posting
Design, build, and maintain efficient, reusable, and reliable Python/Scala code.
Develop high performance & low latency components to run Spark clusters.
Identify bottlenecks and bugs, and devise solutions to these problems.
Processing of data using Hive, Impala & HBASE.
Interpreting functional requirements into design approaches those can be served through Big Data platform.
What you’ll bring
All qualificationsCore experience
- 8 to 12 years of experience
- Strong programming skills in Python or Spark
- Big Data tools: HDFS, MapReduce, YARN, Apache Spark, Hive
- Application performance tuning and troubleshooting in Big Data
- SQL and database principles
Qualification wording
Experience Range - 8 to 12 years
Strong experience with one or more programming languages (Python/Spark).
Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive.
Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain.
Good knowledge of database principles, practices with SQL.
Tools in this posting
- Python
- Scala
- Shell
- SQL
- Hive
- Kafka
- Spark
Source — Tool mentions in context
Experience Range - 8 to 12 years Strong experience with one or more programming languages (Python/Spark). • Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. • Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques. • Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive. • Familiarity with data formats like Avro, Parquet, CSV, JSON. • Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities. • Understanding fundamental design principles behind a scalable application. • Experience in working with UNIX/LINUX and shell scripting. • Good knowledge of database principles, practices with SQL. • Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have: • Agile/Scrum methodology experience is required. • Experience in SCMs like GIT and tools like JIRA. • Experience in No SQL databases. • Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City. • Familiarity with cloud and container technologies. • Experience real time data processing - Kafka. Responsibilities: • Translate application storyboards and use cases into functional applications. • Design, build, and maintain efficient, reusable, and reliable Python/Scala code. • Ensure the best possible performance, quality, and responsiveness of the applications. • Identify bottlenecks and bugs, and devise solutions to these problems. • Develop high performance & low latency components to run Spark clusters. • Interpreting functional requirements into design approaches those can be served through Big Data platform. • Collaborate and partner with Global Teams based across different locations. • Be able to propose best practices and standards. • Perform the testing of software prototypes and transfer to the operational team. • Processing of data using Hive, Impala & HBASE. • Performing analysis of large data sets and derive insights. ------------------------------------------------------
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 16, 2026 · 6 days ago
- Recorded sightings
- 23
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
Experience Range - 8 to 12 years
Strong experience with one or more programming languages (Python/Spark).
• Demonstrated analytical and problem-solving skills. Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain.
• Comfortable working with large data volumes and be able to demonstrate a firm understanding of logical data structures and analysis techniques.
• Experience in Big data technologies like HDFS, Map Reduce, YARN, Apache Spark, Hive.
• Familiarity with data formats like Avro, Parquet, CSV, JSON.
• Strong systems analysis, design and architecture fundamentals, Unit Testing and other SDLC activities.
• Understanding fundamental design principles behind a scalable application.
• Experience in working with UNIX/LINUX and shell scripting.
• Good knowledge of database principles, practices with SQL.
• Application performance tuning, troubleshooting experience and the implementation of these skills in Big Data domain. Good to Have:
• Agile/Scrum methodology experience is required.
• Experience in SCMs like GIT and tools like JIRA.
• Experience in No SQL databases.
• Familiarity with build tools such as Maven and continuous integration like Jenkins/Team City.
• Familiarity with cloud and container technologies.
• Experience real time data processing - Kafka.
Responsibilities:
• Translate application storyboards and use cases into functional applications.
• Design, build, and maintain efficient, reusable, and reliable Python/Scala code.
• Ensure the best possible performance, quality, and responsiveness of the applications.
• Identify bottlenecks and bugs, and devise solutions to these problems.
• Develop high performance & low latency components to run Spark clusters.
• Interpreting functional requirements into design approaches those can be served through Big Data platform.
• Collaborate and partner with Global Teams based across different locations.
• Be able to propose best practices and standards.
• Perform the testing of software prototypes and transfer to the operational team.
• Processing of data using Hive, Impala & HBASE.
• Performing analysis of large data sets and derive insights.
------------------------------------------------------
Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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Source details
Source notes
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- Pay
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- Location & working pattern
Pune Maharashtra India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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