Big data Engineer (Spark/Scala)

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.

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.

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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