Data Engineer

Job Description AWS Data Engineer

Experience: 26 Years
Location: Indore
Job Type: Full-Time | Work From Office
Joining: Immediate Joiners Preferred

About the Role

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions.

Key Responsibilities

• Develop and maintain ETL/ELT data pipelines on AWS.
• Work with S3, AWS Glue, Lambda, Redshift, CloudWatch, and IAM.
• Develop data processing solutions using Python, SQL, and PySpark.
• Build and optimize data lakes and data warehouse solutions.
• Implement incremental data loads, data validation, and error handling.
• Monitor and troubleshoot data pipelines and production issues.
• Optimize data processing and cloud resource usage.
• Work with cross-functional teams to understand data requirements.

Required Skills

• 2–6 years of hands-on experience in Data Engineering.
• Strong SQL and Python skills.
• Hands-on experience with AWS Data Engineering services.
• Good knowledge of PySpark / Apache Spark.
• Strong understanding of ETL/ELT and data warehousing concepts.
• Experience with Git/version control.

Good to Have

• Databricks, Delta Lake, Snowflake
• Apache Airflow / Kafka
• CI/CD and Docker
• AWS certifications

Immediate joiners are preferred.