Data Engineer

About the Role

We need a Data Engineer to design and maintain robust data pipelines that power analytics dashboards and AI/ML workflows for our enterprise clients. You'll work with large-scale datasets across diverse industries.

What You'll Do

• Design, build, and maintain ETL/ELT data pipelines
• Build and optimize data warehouses and data lakes on cloud platforms
• Collaborate with data scientists and analysts to ensure data quality and accessibility
• Implement data governance, monitoring, and alerting frameworks
• Optimize query performance and storage costs
• Automate data workflows using orchestration tools

What We're Looking For

• 3+ years of experience in data engineering
• Proficiency in Python and SQL
• Experience with cloud data platforms (AWS Redshift, GCP BigQuery, or Snowflake)
• Hands-on experience with Apache Spark, Airflow, or similar tools
• Understanding of data modeling (star schema, snowflake schema)
• Familiarity with streaming data (Kafka, Kinesis)

Nice to Have

• Experience with dbt for data transformation
• Knowledge of real-time analytics architectures
• Familiarity with data cataloging and lineage tools