Enterprise Data Solutions Engineer

Experience : 4 – 15 Years

Work Mode : 5 Days Work From Office (Hyderabad)

Mode of Interview : In-Person

About the Role

We 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

Preferred Qualifications