Big data Engineer (Spark/Scala)
Pune, Ind-27, IN, 411005
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDevelop scalable data pipelines and ETL processes
Review module-level code and create replication patterns
Perform root cause analysis on recurring issues
Tune data processing performance and optimization
From the employer’s posting
Expertise in developing scalable data pipelines and ETL processes.
developing and reviewing module-level codes, creating replication patterns
performing root cause analysis to identify recurring issues
Experience with data processing, performance tuning, and optimization.
What you’ll bring
All qualificationsCore experience
- 8+ years in Big Data and Data Engineering
- Strong hands-on Scala (primary skill)
- Apache Spark and Hadoop ecosystem knowledge
- Experience working in Agile environments
Preferred experience
- Exposure to Azure, AWS, or GCP cloud platforms
- Scala, Apache Spark, or Databricks certification
Qualification wording
8-11 years of experience in Big Data and Data Engineering.
Strong hands-on expertise in Scala (mandatory and primary skill).
Strong knowledge of Apache Spark, Hadoop ecosystem, and distributed computing.
experience working in Agile environments
Exposure to cloud platforms such as Azure, AWS, or GCP is preferred.
Preferred Certification: Scala / Apache Spark / Databricks
Tools in this posting
- Python
- Scala
- AWS
- Azure
- Databricks
- GCP
- Hadoop
- Spark
- PySpark
Source — Tool mentions in context
- 8-11 years of experience in Big Data and Data Engineering. - Strong hands-on experience in Bigdata,Python, PySpark, and Scala. - Strong hands-on expertise in Scala (mandatory and primary skill).
S͏kills:- Mandatory Skills: Big Data, Python, PySpark, Scala. Scala is the key skills Preferred Certification: Scala / Apache Spark / Databricks
- Strong hands-on experience in Bigdata,Python, PySpark, and Scala. - Strong hands-on expertise in Scala (mandatory and primary skill). - Expertise in developing scalable data pipelines and ETL processes.
Mandatory Skills: Big Data, Python, PySpark, Scala. Scala is the key skills Preferred Certification: Scala / Apache Spark / Databricks Mandatory Skills: DataBricks - Data Engineering .
- Experience with data processing, performance tuning, and optimization. - Exposure to cloud platforms such as Azure, AWS, or GCP is preferred. - Strong problem-solving skills and experience working in Agile environments.
Scala is the key skills Preferred Certification: Scala / Apache Spark / Databricks Mandatory Skills: DataBricks - Data Engineering . Experience: 5-8 Years .
- Expertise in developing scalable data pipelines and ETL processes. - Strong knowledge of Apache Spark, Hadoop ecosystem, and distributed computing. - Experience with data processing, performance tuning, and optimization.
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
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 22
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.wipro.com. The employer’s form will show what is required.
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Job description
Job Description
The purpose of this role is to facilitate application solutions by developing and reviewing module-level codes, creating replication patterns, performing root cause analysis to identify recurring issues and collaborating with internal and external stakeholders to ensure stable, well-documented deliverables that meet business objectives.
Job Description:-
- 8-11 years of experience in Big Data and Data Engineering.
- Strong hands-on experience in Bigdata,Python, PySpark, and Scala.
- Strong hands-on expertise in Scala (mandatory and primary skill).
- Expertise in developing scalable data pipelines and ETL processes.
- Strong knowledge of Apache Spark, Hadoop ecosystem, and distributed computing.
- Experience with data processing, performance tuning, and optimization.
- Exposure to cloud platforms such as Azure, AWS, or GCP is preferred.
- Strong problem-solving skills and experience working in Agile environments.
S͏kills:-
Mandatory Skills: Big Data, Python, PySpark, Scala.
Scala is the key skills
Preferred Certification: Scala / Apache Spark / Databricks
Mandatory Skills: DataBricks - Data Engineering .
Experience: 5-8 Years .
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Source details
Source notes
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- Pay
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- Location & working pattern
Pune, Ind-27, IN, 411005
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