Jr Data Engineer

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 Degree in related field