Data Engineer

EXL • Pittsburgh, PA

12d • Onsite

About The Position

We are looking for a highly skilled Data Engineer with strong expertise in Python and SQL, along with hands-on experience in DevOps and CI/CD practices. The role involves building scalable data pipelines, optimizing data systems, and enabling efficient data-driven solutions.

Requirements

• Hands-on experience in Python and SQL
• Experience in data engineering concepts: ETL/ELT, data modeling, data warehousing
• Solid exposure to DevOps tools & practices (CI/CD, Git, Jenkins, Docker, etc.)
• Experience in building production-grade data pipelines
• Strong debugging, problem-solving, and optimization skills

Nice To Haves

• Experience with PySpark / Big Data technologies
• Exposure to cloud platforms.
• Knowledge of workflow orchestration tools (Airflow, etc.)
• Understanding of data governance and quality frameworks

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
• Build and optimize data ingestion and transformation frameworks for large datasets.
• Develop robust solutions for data processing, validation, and quality assurance.
• Implement CI/CD pipelines and DevOps practices for data engineering workflows.
• Automate data pipelines, deployment, and monitoring processes.
• Work with cross-functional teams to understand business requirements and deliver data solutions.
• Troubleshoot and optimize performance of data pipelines and systems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level