– AWS Data Engineer

Experience: 2–6 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.
Positive knowledge of PySpark / Apache Spark.
Solid 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. Pay: ₹400,000.00 - ₹1,000,000.00 per year

Perks
Flexible schedule
Paid time off

Work Location: In person

📌 Data Engineer Indore (India)
🏢 Eagle In Cloud
📍 India