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