AWS Data Engineer

AWS Cloud Data Engineering for one of our client MNC Location : remote Job type : contractual for 1 yr extendable Exp : 5 yrs Key Responsibilities : - Design, develop, and maintain scalable and efficient data pipelines on AWS. - Implement data ingestion, transformation, and processing using AWS services such as Glue, Lambda, Kinesis, S3, and Step Functions. - Work with Redshift, Athena, RDS, DynamoDB, and Snowflake to optimize data storage and retrieval. - Develop and maintain ETL workflows using AWS Glue, Apache Spark, or Python. - Ensure data integrity, security, and compliance following best practices. - Implement and manage CI/CD pipelines for data engineering workloads. - Collaborate with Data Scientists, Analysts, and Business teams to understand data requirements. - Optimize performance and cost of data pipelines and cloud storage solutions. - Monitor and troubleshoot data workflows using CloudWatch, AWS X-Ray, and logging frameworks. Required Skills & Experience : - 5-6 years of experience in AWS Cloud Data Engineering. - Hands-on experience with AWS services like Glue, Redshift, S3, Lambda, Athena, Kinesis, and Step Functions. - Strong programming skills in Python, PySpark, or SQL. - Experience with data modeling, schema design, and query optimization. - Familiarity with big data technologies such as Apache Spark, Hadoop, or Kafka. - Knowledge of data security best practices (IAM roles, encryption, VPCs, etc.). - Experience in Terraform or CloudFormation for Infrastructure as Code (IaC). - Strong problem-solving skills with a focus on automation and scalability. Preferred Qualifications : AWS Certified Data Analytics - Specialty or Solutions Architect - Associate. (ref:hirist.tech)

Location: noida, IN

Posted Date: 4/26/2025