Overview
Skills
Job Details
Required Skills & Qualifications
10 15 years of experience in data engineering or related roles.
Strong expertise with Snowflake (data modeling, performance tuning, security, governance).
Proven experience building and managing ETL pipelines using tools/frameworks such as Glue, Airflow, or Informatica.
Advanced proficiency in Python for data processing, scripting, and automation.
Hands-on experience with AWS cloud services (S3, Glue, Redshift, Lambda, EC2, etc.).
Solid understanding of data warehousing, data lakes, and distributed data systems.
Strong SQL skills for data manipulation, transformation, and optimization.
Experience with CI/CD pipelines, DevOps practices, and version control (Git).
Excellent leadership, problem-solving, and communication skills.
Preferred Qualifications
Experience with real-time data processing (Kafka, Kinesis, Spark Streaming).
Knowledge of data governance, security, and compliance best practices.
Exposure to machine learning data pipelines and advanced analytics.
Prior experience leading large-scale cloud migration projects.