Big Data Engineer- Scala
Capco, a Wipro company (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 12–22 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable Big Data applications and ETL/ELT data pipelines using Scala and Apache Spark.
- Optimize Spark jobs and large-scale data-processing solutions handling structured and unstructured data volumes.
- Troubleshoot production data pipeline issues and implement data quality checks, monitoring, and error-handling mechanisms.
Minimum Requirements
- Strong hands-on programming experience in Scala and Apache Spark / Spark SQL.
- Experience with Hadoop ecosystem technologies including Hadoop/HDFS and Hive; plus Kafka or similar streaming technologies.
- Proven ability building and optimizing large-scale ETL/data engineering pipelines with strong SQL skills.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in distributed data platforms and big data environments focused on high-performance data-processing at scale.
- Familiar with software engineering best practices like Git, code reviews, testing, and CI/CD within Agile/Scrum contexts.
- Skilled in performance tuning, troubleshooting Spark applications, and collaborating with cross-functional teams including data architects and analysts.