Description

You will design, build, and optimize data pipelines and warehouse solutions to support analytical needs.

Responsibilities

• Develop and maintain ETL pipelines for reliable data flow across systems.
• Architect and manage data warehousing solutions for reporting and analytics.
• Implement data quality checks to ensure accuracy and consistency.
• Optimize data infrastructure for improved processing and query performance.
• Document data architecture, pipelines, and workflows for compliance and internal use.

Required Skills

• 10+ years of experience in data engineering or data warehousing.
• Strong proficiency in SQL and database management (PostgreSQL, MySQL, Redshift).
• Hands-on experience with ETL tools such as Apache Airflow or Talend.
• Proficiency in big data technologies including Hadoop and Spark.
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud data storage.
• Programming skills in Python, Java, or Scala.
• Deep understanding of data modeling, architecture, and governance principles.

Preferred Skills

• Familiarity with data visualization tools like Tableau or Power BI.
• Knowledge of NoSQL databases such as MongoDB or Cassandra.

Key Skills

Education

Bachelor’s degree in Computer Science, Engineering, or a related field.