Job Title: AWS Glue Data Engineer

Experience: 6+ Years

Job Description (10 Key Responsibilities)

- Design, develop, and maintain scalable ETL/ELT pipelines using AWS Glue and PySpark.

- Ingest, transform, and load structured and semi-structured data from multiple sources into Snowflake.

- Develop and optimize complex SQL queries, stored procedures, and views for analytics and reporting.

- Build and manage data workflows using Glue Workflows, Triggers, and AWS Step Functions.

- Implement data partitioning and performance tuning techniques in Snowflake and AWS environments.

- Work with S3, Lambda, IAM, CloudWatch, and other AWS services to ensure secure and reliable pipelines.

- Perform data validation, reconciliation, and quality checks across source and target systems.

- Collaborate with data analysts, BI developers, and stakeholders to understand data requirements.

- Automate deployment using CI/CD pipelines and Infrastructure-as-Code where applicable.

1. Monitor and troubleshoot data pipelines and ensure SLA adherence.

📌 Senior AWS Glue Data Engineer (Hyderabad)
🏢 Hucon Solutions
📍 Hyderabad