Description

You will build and maintain scalable data pipelines and warehousing solutions within distributed environments.

This role is on-site.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using Apache Spark and Snowflake.
• Leverage Databricks for data processing, transformation, and analytics.
• Develop efficient SQL and Spark applications to process large data volumes.
• Implement Snowflake data warehousing solutions focusing on performance, cost, and security.
• Ensure data quality through unit testing, validation, and monitoring.

Required Skills

• 8+ years of experience in data engineering.
• Hands-on experience with Snowflake and Apache Spark.
• Proficiency in SQL and Python.
• Experience with Scala.
• SnowPro Core or Advanced Certification.
• Databricks Certified Associate Developer for Apache Spark.
• Knowledge of cloud platforms including AWS, Azure, or GCP.
• Experience with Git and GitHub.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Gradute