Enterprise Data Warehouse (EDW) Engineer

Job Description

We are seeking a Mid-Level Enterprise Data Warehouse (EDW) Engineer with a passion for building scalable, cloud-native data solutions. This position is ideal for individuals who excel in collaborative environments, communicate effectively, and approach challenges with a problem-solving mindsetnot just those who follow instructions.

Primary Skills (Must Have)
  • Strong SQL (complex queries, performance tuning)
  • Python for data processing
  • dbt (models, tests, transformations)
  • Data warehousing experience (Snowflake / BigQuery/ Redshift preferred)
Key Responsibilities
  • Design, develop, and maintain high-performance data pipelines and ETL/ELT workflows for the enterprise data warehouse.
  • Work with cloud-based data warehouse platforms like Snowflake, BigQuery, or Redshift to optimize data storage and retrieval.
  • Write clean, efficient, and maintainable SQL and Python code for data transformation and automation tasks and Implement and manage CI/CD pipelines for data workflows using tools like Git, Jenkins, or GitHub Actions.
  • Experience using AI tools to assist with SQL query optimization, code generation, and documentation for data engineering workflows.
  • Leverage orchestration tools (e.g., Apache Airflow, dbt Cloud, Prefect) to schedule and monitor data workflows.
  • Conduct detailed data analysis between current and target systems, and prepare mapping documentation.
  • Collaborate with data analysts, scientists, and business teams to generate actionable insights.
  • Proactively identify and address data quality issues and performance bottlenecks.
  • Contribute to data architecture decisions and establish best practices.
  • Demonstrated ability to adopt an AI-first mindset and leverage AI-driven tools to enhance productivity, innovation, and decision-making within the role
Data Engineer
IT Services & Consulting
Engineering – Software & QA
Full Time, Permanent
Software Development
Education
Any Graduate
Any Postgraduate
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