Description

You design, build, and maintain scalable data pipelines and infrastructure.

This role is on-site.

Responsibilities

• Design and implement ETL/ELT programs to ingest, transform, and load data.
• Own real-time and batch processing pipelines while ensuring data governance compliance.
• Test and deploy pipelines, maintaining current technical documentation for audits.
• Define business contracts for data representation and storage methods.

Required Skills

• 5+ years building ETL/ELT data pipelines.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Strong proficiency in Python and SQL.
• 2+ years experience with public clouds (AWS, Azure, or GCP).
• 3+ years with distributed tools (Hadoop, Spark, Kafka, EMR, Hive, or MapReduce).
• 2+ years with NoSQL implementations (DynamoDB, MongoDB, Redis, or Elasticache).
• 2+ years of data warehousing experience (Redshift, Snowflake, Databricks, etc.).
• 2+ years of UNIX/Linux administration and shell scripting.
• Experience with Agile, DevOps, CI/CD, and automation testing.

Key Skills

Education

Bachelor's or Master's degrees