We're Hiring : AWS Data Engineer

Key skills Required : AWS Data Eng Services (AWS Glue, S3, Redshift, SQL, Python, PySpark)

Job Location : Madurai

Working Mode : On-site/Hybrid - Monthly one week (or) Weekly 2 Days of Work from Office

Job Type : Full-Time

Experience : 5 to 10 Years

Shift Timing : 2 PM to 11 PM IST

Job Title : AWS Data Engineer

Role Overview :

The AWS Data Engineer will be responsible for designing, developing, and maintaining robust data pipelines and ETL workflows using AWS services. You will collaborate with data architects and analysts to ensure seamless data integration, transformation, and optimization across cloud platforms.

Key Responsibilities

- Design, build, and maintain ETL/ELT pipelines using AWS Glue, PySpark, and Python.

- Work with large datasets and ensure data quality, integrity, and performance optimization.

- Implement data ingestion from multiple structured and unstructured data sources into Snowflake or other cloud data warehouses.

- Write efficient SQL queries for data extraction, transformation, and reporting.

- Monitor and troubleshoot data workflows in AWS environments.

- Collaborate with cross-functional teams to deliver scalable and high-performing data solutions.

Required Skills & Experience :

- 5 years of hands-on experience as a Data Engineer.

- Strong expertise in AWS Services especially AWS Glue, S3, Lambda, Athena, Redshift (any combination).

- Proficient in SQL, Python, and PySpark.

- Experience working with Snowflake or similar cloud data warehouses.

- Familiarity with data pipeline orchestration tools (e.g., Airflow or AWS Step Functions) is a plus.

- Strong problem-solving, debugging, and communication skills.

Why Join TechMango :

- Work with a fast-growing global data engineering team.

- Opportunity to learn and grow in advanced cloud and analytics technologies.

- Competitive salary and performance-based incentives.

- A collaborative and innovation-driven work environment.