Data Engineer (Python + SQL)

Job Title: Data Engineer

Experience: 3+ Years

Location: Pittsburgh Job Summary

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. Key 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 Must-Have Skills

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 Good to Have

Experience with PySpark / Big Data technologies

Exposure to cloud platforms.

Knowledge of workflow orchestration tools (Airflow, etc.)

Understanding of data governance and quality frameworks

Qualification

Bachelor’s degree in related field For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits