Data Engineer - AWS, BedRock

Role : Data Engineer

Location : Chicago, IL (Hybrid) - Locals only

Interview : In-person

Experience : 10+ years

As a Data Engineer with deep expertise in Python, AWS, big data ecosystems, and SQL / NoSQL technologies, driving scalable, real-time data solutions with 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 database - 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, 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. .

Educational Qualifications : -

Mandatory skills

Good to have skills : -