Job Title: Senior AWS Data Engineer
Exp Range – 4-7 Years
Location – Gurugram (WFO – Hybrid)
Job Summary:
We are looking for a Mid-Senior Data Engineer to join our growing data team and help build
scalable, reliable, and efficient data pipelines and platforms. The ideal candidate has hands-on
experience in managing large-scale data systems, cloud platforms, and workflow orchestration
tools. You will play a critical role in enabling analytics, machine learning, and real-time decision-
making across the organization.
Key Responsibilities:
• Design, build, and optimize robust ETL/ELT pipelines using Python and SQL.
• Develop and manage big data processing jobs using Apache Spark (PySpark) on platforms like Databricks.
• Build and maintain orchestrated workflows using Apache Airflow, Dagster, or Prefect.
• Develop and scale cloud-based data platforms using:
• AWS (Redshift, Glue, S3, Lambda)
• Leverage Databricks for scalable data processing, Delta Lake integration, and collaborative analytics.
• Work closely with data analysts, scientists, and product teams to understand data needs and translate them into scalable solutions.
• Ensure data quality, integrity, and security across all data systems.
• Contribute to CI/CD practices for data pipeline deployment and version control.
Required Skills & Experience:
• 5+ years of professional experience in data engineering or a related field.
• Strong expertise in advanced SQL (joins, window functions, CTEs, query optimization).
• Proficient in Python, with hands-on experience using Pandas, PySpark, and SQLAlchemy.
• Solid understanding of Apache Spark architecture and performance tuning.
• Experience working on Databricks and using Delta Lake for high-performance data storage and retrieval.
• Hands-on experience with at least one cloud platform (AWS).
• Experience in data modeling, warehouse architecture, and dimensional modeling.
• Comfortable with Git and DevOps practices for data projects.
Soft Skills:
• Excellent problem-solving and debugging skills.
• Strong written and verbal communication.
• Ability to thrive in a cross-functional and agile environment.