Aws Data Engineer

Job description

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. - Strong 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.