Enterprise Data Warehouse

3 days ago

New Delhi, India Yotta Tech Ports Inc Full time

Experience: 4 – 15 YearsWork Mode: 5 Days Work From Office (Hyderabad)Mode of Interview: In-PersonAbout the RoleWe are looking for a Mid-Level Enterprise Data Warehouse (EDW) Engineer who’s passionate about building scalable, cloud-native data solutions. This role is perfect for someone who thrives in collaboration, communicates clearly, and brings a problem-solving mindset to every challenge — not just someone who takes orders.Key Responsibilities- Design, develop, and maintain robust data pipelines and ETL/ELT processes for the enterprise data warehouse. - Work with cloud-based data warehouse platforms such as Snowflake, BigQuery, or Redshift to manage and optimize data storage and retrieval. - Write efficient, maintainable SQL and Python code for data transformation and automation. - Implement and maintain CI/CD pipelines for data workflows using tools like Git, Jenkins, or GitHub Actions. - Use orchestration tools such as Apache Airflow, dbt Cloud, or Prefect to schedule and monitor workflows. - Perform deep data analysis between current and target systems, and prepare mapping documentation. - Collaborate with data analysts, scientists, and business stakeholders to deliver actionable insights. - Identify and resolve data quality issues and performance bottlenecks proactively. - Contribute to data architecture decisions and best practices.Required Qualifications- 4–15 years of experience in Data Engineering or EDW Development. - Hands-on expertise in Snowflake, BigQuery, or Redshift. - Strong command over SQL and Python. - Working knowledge of CI/CD tools (Git, Jenkins, GitHub Actions). - Proficiency with workflow orchestration (Airflow, Prefect, etc.). - Ability to analyze large datasets and translate findings into business context. - Excellent communication and collaboration skills. - Proactive, solution-oriented mindset with strong ownership.Preferred Qualifications- Experience in data modeling and data architecture. - Understanding of data governance, security, and compliance. - Familiarity with modern data stack tools like dbt, Fivetran, or Looker. - Exposure to large-scale enterprise data warehouse implementations.

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