Enterprise Data Warehouse

2 weeks ago

hyderabad, India Yotta Tech Ports Inc Full time

Enterprise Data Warehouse (EDW) Engineer – Hyderabad (Onsite) Experience: 4 – 15 Years Work Mode: 5 Days In-Office (Hyderabad) Interview Mode: In-Person About the Role 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 mindset—not just those who follow instructions. 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. Implement and manage CI/CD pipelines for data workflows using tools like Git, Jenkins, or GitHub Actions. 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. Required Qualifications 4-15 years of experience in Data Engineering or EDW Development. Strong hands-on experience with Snowflake, BigQuery, or Redshift. Expertise in SQL and Python. Working knowledge of CI/CD tools such as Git, Jenkins, and GitHub Actions. Experience with workflow orchestration tools like Airflow and Prefect. Ability to analyze large datasets and present findings in a business context. Excellent communication and teamwork skills. A proactive, solution-oriented mindset with strong ownership and accountability. Preferred Qualifications Experience in data modeling and architecture. Understanding of data governance, security, and compliance best practices. Familiarity with modern data stack tools such as dbt, Fivetran, or Looker. Experience with large-scale enterprise data warehouse implementations.  

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