Description

Design, implement, and manage large-scale ETL solutions and data warehousing architectures for complex analytics workloads.

This role is on-site.

Responsibilities

• Design and implement multi-dimensional data warehouses and large-scale ETL pipelines.
• Analyze complex datasets to identify, diagnose, and resolve data quality issues.
• Fine-tune queries within columnar databases such as Redshift or Snowflake for optimal performance.
• Manage data modeling tasks including OLAP cube development and schema design.
• Integrate DevSecOps and DataOps methodologies into the data lifecycle using CI/CD tools.

Required Skills

• 5+ years of hands-on experience designing and managing ETL solutions.
• 3+ years of experience in business intelligence, data modeling, and data engineering.
• Expert-level proficiency in SQL and Python.
• Experience with columnar databases like Redshift or Snowflake.
• Proficiency in containerization using Docker and Kubernetes.
• Knowledge of CI/CD processes and tools including GitLab and Terraform.
• Experience with AWS cloud services.
• Strong understanding of Data Warehousing, OLAP, and core database concepts.

Preferred Skills

• Experience with TypeScript.

Key Skills

Education

Bachelor's degree in Computer Science