Must have minimum 8+ years of experience as AWS Data Engineer.

Major skill set should be AWS Glue, lambda, Airflow / Step function, PySpark, Python, SQL , DBT.

Experience in designing and implementing data pipelines using AWS Glue and orchestration using Airflow for batch, streaming (Kafka/Kinesis) and API ingestion pattern.

Experience working on scripting language preferably Python using Cargill standard tools such as AWS Glue (Spark)

Experience in designing and implementing API ingestion pipeline using AWS API Gateway

Work with Solution architect to enhance the data ingestion framework using AWS native services to make it metadata driven supporting multiple ingestion patterns such as batch processing, streaming data, and API integration.





Able to understand and explain the data ingestion from different sources like file, database, applications etc.

Build and enhance the Python, PySpark Based Framework for ingestion.

Data engineering experience in AWS Data Services like Glue, EMR, Airflow, CloudWatch, Lambda, Step functions, Event triggers.

Able to work as a senior engineer with sole interaction point with different business functional teams.

Requirements

Experience / Skills

Candidate should have around 8+ years of IT-Experience.

📌 AWS Data Engineer (Gurugram)
🏢 Ibotix
📍 Gurugram