AWS Data Engineer

  • Chicago, IL
  • Posted 4 hours ago | Updated 4 hours ago

Overview

On Site
Accepts corp to corp applications
Contract - long term

Skills

AWS
Python
SQL
Kafka
PySpark
Healthcare
DATA ENGINEER

Job Details

AWS Data Engineer

Experience:
10+ Years

Location:
Chicago, IL (Local Only)

Mandatory Skills:
Python, PySpark, AWS

Good to Have Skills:
EMR, Spark, Kafka/Kinesis

What is in it for you?

As a Data Engineer with deep expertise in Python, AWS, big data ecosystems, and SQL/NoSQL technologies, you will be responsible for driving scalable, real-time data solutions leveraging CI/CD and stream-processing frameworks.

Responsibilities:

  • Proficient developer in multiple languages - Python is a must - with the ability to quickly learn new ones.

  • Expertise in SQL (complex queries, relational databases preferably PostgreSQL, and NoSQL databases such as Redis and Elasticsearch).

  • Extensive big data experience, including EMR, Spark, Kafka/Kinesis, and optimizing data pipelines, architectures, and datasets.

  • AWS expert with hands-on experience in Lambda, Glue, Athena, Kinesis, IAM, EMR/PySpark, and Docker.

  • Proficient in CI/CD development using Git, Terraform, and Agile methodologies.

  • Comfortable with stream-processing systems (e.g., Storm, Spark-Streaming) and workflow management tools (e.g., Airflow).

  • Exposure to knowledge graph technologies (Graph DB, OWL, SPARQL) is a plus.

Educational Qualifications:
Engineering Degree BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.

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