AWS Data Engineer with Python/Pyspark , AWS services including S3, Lambda, Glue, SNS, SQS, and CloudWatch,Snowflake.

Location: Gurgaon/Noida/Hyderabad
Work timings : 2PM – 11PM IST
Ry Responsibilities
• Design, develop, and maintain scalable data pipelines and ETL workflows using AWS, Python and SQL.
• Develop and manage cloud-native data solutions using AWS services such as S3, Lambda, Glue, SNS, SQS, and CloudWatch.
• Implement efficient data ingestion, transformation, and loading processes across multiple data sources.
• Monitor, troubleshoot, and optimize data pipelines and cloud infrastructure for performance and reliability.
• Implement job scheduling and orchestration using enterprise scheduling tools such as Tidal or TWS.
• Build and maintain CI/CD pipelines using Jenkins for automated deployment and delivery.
• Work closely with business stakeholders, data analysts, and architects to understand requirements and deliver data-driven solutions.
• Ensure adherence to data governance, security standards, and best engineering practices.
• Participate in design reviews, code reviews, and technical documentation.

Required Skills
• 4+ years of experience in Data Engineering, Software Engineering, or related fields.
• Strong programming experience in Python.
• Advanced knowledge of SQL and relational databases.
• Hands-on experience with AWS services including S3, Lambda, Glue, SNS, SQS, and CloudWatch.
• Experience building data pipelines and data processing frameworks.
• Experience with job scheduling tools such as Tidal or TWS.
• Experience with CI/CD tools like Jenkins.
• Strong analytical and problem-solving skills.