Description

You will design, develop, and maintain scalable ETL/ELT pipelines and data architectures for structured and unstructured datasets.

This role is on-site.

Responsibilities

• Build and optimize data warehouse solutions using Snowflake, BigQuery, or Redshift.
• Develop reliable data workflows and orchestrate them with tools like Airflow or dbt.
• Ensure data quality, integrity, and governance standards across all pipelines.
• Optimize SQL queries and data processing performance for large-scale systems.
• Troubleshoot production issues and monitor pipeline reliability.

Required Skills

• 6+ years of hands-on experience in Python and SQL.
• Strong background in ETL/ELT processes and data pipeline development.
• Experience with cloud platforms: AWS, Azure, or GCP.
• Proficiency with data warehousing tools such as Snowflake, BigQuery, or Redshift.
• Knowledge of orchestration tools like Airflow or dbt.
• Experience with Java is required.
• Strong understanding of data modeling and warehousing concepts.

Preferred Skills

• Experience with streaming or real-time data processing.
• Familiarity with data governance and quality frameworks.

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

Key Skills

Education

Bachelor's or Master's degrees