Description

You build and maintain data pipelines and ETL processes.

This role is hybrid.

Responsibilities

• Develop and implement ETL jobs and data pipelines.
• Optimize complex SQL queries for large datasets.
• Work with relational databases to process data.
• Utilize big data tools for data processing.

Required Skills

• 5+ years of professional experience in data engineering.
• Experience with data warehousing tools like Snowflake, Redshift, and BigQuery.
• Proficiency in Spark, Hadoop, and Kafka.
• Strong programming skills in Java; Python experience is beneficial.
• Experience handling large, complex datasets.
• Familiarity with cloud environments, specifically AWS, Azure, or GCP.

Key Skills

Education

Any Gradute