– 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.
- 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. Pay: ₹400,000.00 - ₹1,000,000.00 per year

Perks

- Flexible schedule
- Paid time off

Work Location: In person

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