Key Skills:

IAM, AWS, Python, AWS Lambda, Data Engineer, AWS S3, Spark

Roles and Responsibilities:

- Design, build, and maintain scalable data pipelines on AWS.

- Develop ETL/ELT workflows using AWS Glue, Lambda, EMR, and Step Functions.

- Develop data ingestion frameworks using Kinesis, Kafka, and SQS.

- Build and optimize data lakes using S3, Glue Data Catalog, and Lake Formation.

- Develop and maintain data warehousing solutions using Redshift and Snowflake.

- Implement data quality checks, monitoring, logging, and CI/CD deployments.

- Collaborate with analytics and business teams to deliver high-quality datasets.

- Design, develop, and deploy solutions using appropriate tools, design principles, and coding standards.

- Configure robotics processes and objects using core workflow principles, ensuring solutions are maintainable and easy to understand.

- Understand existing processes and manage changing requirements through structured change control processes.

- Troubleshoot day-to-day issues in data and automation processes and provide timely resolutions.

- Maintain proper documentation for solutions, test procedures, and scenarios throughout UAT and Production phases.





- Coordinate with process owners and business stakeholders to understand as-is processes and design appropriate automation workflows.

Skills Required:

- 6+ years of strong hands-on experience with AWS Glue, S3, Lambda, IAM, and Step Functions.

- Solid proficiency in Python, PySpark, SQL, and data transformation logic.

- Experience with Redshift, Athena, and Glue Data Catalog.

- Strong knowledge of Apache Spark and distributed data processing using EMR/Glue.

- Experience with data ingestion technologies such as Kinesis, Kafka, or SQS.

- Good understanding of data modeling, data lake architecture, and data engineering best practices.

- Experience implementing data quality, monitoring, logging, and CI/CD processes.

- Familiarity with Terraform or CloudFormation for Infrastructure as Code (IaC) is an added advantage.

- Strong problem-solving and analytical skills.

- Good communication and stakeholder management skills.

Education:

Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

📌 AWS Data Engineer (Delhi)
🏢 MyCareernet
📍 Delhi