AWS Data Engineer - Python, Pyspark, EMR, Spark, Kafka/ Kinesis, SQL/NoSQL

Data Engineer (Contract) People Force Consulting Inc. is seeking a highly skilled Data Engineer with deep expertise in Python, PySpark, AWS, and big data ecosystems to drive scalable, real‑time data solutions using CI/CD and stream‑processing frameworks. Minimum 8+ years of experience, required in‑person interview. Location: Chicago, IL.

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Mandatory Skills

Python ,

PySpark ,

AWS

Good to Have Skills

EMR ,

Kafka / Kinesis

Responsibilities

Proficient developer in multiple languages; Python is a must, with ability to learn new ones quickly.

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

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

Hands‑on AWS experience – Lambda, Glue, Athena, Kinesis, IAM, EMR/PySpark, Docker.

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

Comfortable with stream‑processing systems (Storm, Spark‑Streaming) and workflow management tools (Airflow).

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

Qualifications

Engineering degree (BE/ME/BTech/MTech/BSc/MSc). Technical certification in multiple technologies is desirable.

At least 8 years of experience in data engineering.

Experience in Python, PySpark, AWS.

Seniority level Mid‑Senior level

Employment type Full‑time (Contract)

Job function Information Technology

Industries Software Development

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