Description

You will build and maintain ETL/ELT data pipelines and data warehousing solutions.

This role is remote.

Responsibilities

• Build and maintain ETL/ELT data pipelines and real-time data streaming applications.
• Develop and manage data warehousing solutions using modern cloud platforms.
• Operate and maintain systems using UNIX/Linux and shell scripting.
• Apply data engineering best practices, including coding standards, code reviews, and source control.

Required Skills

• 5+ years experience as a data engineer building ETL/ELT pipelines.
• Proficiency in Python and SQL.
• 2+ years experience with a public cloud (AWS, Microsoft Azure, Google Cloud).
• 3+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL).
• 2+ years experience working on real-time data and streaming applications.
• 2+ years experience with NoSQL implementations (DynamoDB, MongoDB, Redis, Elasticache).
• 2+ years of data warehousing experience (Redshift, Snowflake, Databricks, etc.).
• 2+ years of experience with UNIX/Linux including basic commands and shell scripting.

Preferred Skills

• Experience with Agile and DevOps practices.

Key Skills

Education

Any Graduate