AWS Data Engineer

Experience: 6-15 Years
Location: Hyderabad

Job Description

We are hiring an experienced AWS Data Engineer with strong expertise in AWS Cloud, Python, PySpark, SQL, and Apache Spark. The ideal candidate should have experience designing scalable data platforms, building enterprise ETL/ELT pipelines, and leading technical teams.

Key Responsibilities:

- Design and develop scalable ETL/ELT pipelines using Python, PySpark, SQL, and AWS services.
- Build batch and real-time data processing solutions using Apache Spark, Kafka, EMR, and Airflow.
- Design and implement Data Lake and Data Warehouse solutions using AWS S3, Glue, Athena, Redshift, and Lake Formation.
- Develop serverless data processing solutions using AWS Lambda, Step Functions, and Amazon Kinesis.
- Optimize PySpark jobs, SQL queries,



and Python applications for performance and scalability.
- Ensure data quality, security, governance, and high availability across AWS platforms.
- Collaborate with architects, business stakeholders, and cross-functional teams.
- Lead technical discussions, mentor engineers, and support cloud modernization initiatives.

Preferred Candidate Profile

- 6+ years of experience in Data Engineering.
- Solid hands-on expertise in AWS, Python, PySpark, and SQL.
- Experience designing end-to-end AWS data platforms.
- Experience leading technical teams and mentoring engineers.
- Excellent communication and stakeholder management skills.
- Immediate joiners or candidates are preferred.

📌 Aws Data Engineer (Hyderabad)
🏢 Quest Global
📍 Hyderabad