AWS Data Engineer_Python+Pyspark_4+yrs

About The Opportunity

Join a dynamic leader in the cloud data engineering sector, specializing in advanced data solutions and real-time analytics for enterprise clients. This role offers an on-site opportunity in India to work on cutting-edge AWS infrastructures where innovation is at the forefront of business transformation.This opportunity is ideal for professionals with 4+ years of proven experience in AWS data engineering, Python, and PySpark. You will contribute to designing, optimizing, and maintaining scalable data pipelines that drive business intelligence and operational efficiency.Role & Responsibilities

• Design, develop, and maintain robust AWS-based data pipelines using Python and PySpark.
• Implement efficient ETL processes, ensuring data integrity and optimal performance across AWS services (S3, Glue, EMR, Redshift).
• Collaborate with cross-functional teams to integrate data engineering solutions within broader business-critical applications.
• Troubleshoot and optimize existing data workflows, ensuring high availability, scalability, and security of cloud solutions.
• Exercise best practices in coding, version control, and documentation to maintain a high standard of engineering excellence.
  

Skills & Qualifications

• Must-Have: 4+ years of hands-on experience in AWS data engineering with proven expertise in Python and PySpark.
• Must-Have: Proficiency in developing and maintaining ETL processes, using AWS services such as S3, Glue, EMR, and Redshift.
• Must-Have: Strong problem-solving skills and a deep understanding of data modeling, data warehousing concepts, and performance optimization.
• Preferred: Experience with AWS Lambda, Airflow, or similar cloud orchestration tools.
• Preferred: Familiarity with containerization, CI/CD pipelines, and infrastructure-as-code (e.g., CloudFormation, Terraform).
• Preferred: AWS certifications or equivalent cloud credentials.
  

Benefits & Culture Highlights

• Work in a collaborative, fast-paced environment that rewards innovation and continuous improvement.
• Enjoy opportunities for professional growth and skill development through ongoing projects and training.
• Benefit from competitive compensation and the ability to work on transformative cloud technology solutions.
  

Skills: glue,redshift,performance optimization,infrastructure-as-code,emr,cloudformation,ci/cd pipelines,data warehousing,aws,terraform,cloud services,aws lambda,pyspark,etl processes,python,data modeling,s3,containerization,etl,airflow