AWS Data Engineer

VeeRteq Solutions Inc DBA AddSource

Chicago, IL, USA
Contract
On-site
AWS Data Services (S3, Glue, Lambda, Redshift)Python for Data EngineeringSQL and Data Modeling

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.