Data ETL Engineer (RARR Job 6268)

We are seeking a Data Engineer with strong expertise in Informatica, Snowflake, Python, Spark, Scala, PySpark, and AWS. The ideal candidate will be responsible for developing scalable data pipelines, optimizing ETL processes, and supporting enterprise data platforms.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL solutions.
• Build automated data engineering solutions for Data Engineering teams.
• Monitor systems and implement alerting mechanisms to ensure reliability.
• Perform testing, debugging, and troubleshooting of data workflows.
• Ensure performance, scalability, and data quality across platforms.
• Collaborate in Agile development environments and maintain technical documentation.

Required Experience

• 4–8 years of experience in Data Engineering and ETL development.
• Hands-on experience with Spark, Scala, and PySpark.
• Strong SQL skills with Snowflake and Oracle databases.
• Knowledge of streaming technologies such as Kafka.
• Working experience with AWS cloud services