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Data Engineer - AWS, Bedrock

Chicago, IL, US • Posted 9 hours ago • Updated 1 hour ago

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Job Details

Skills

AWS
Python
SQL
PySpark
DATA ENGINEER
BEDROCK

Summary

Role: Data Engineer - AWS, Bedrock
Location: Chicago, IL (Locals Required)
Interview Mode: Face to Face
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: -

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

Mandatory skills

Bedrock, Python, PySpark, AWS

Good to have skills: -

EMR, Spark, Kafka/ Kinesis

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91122967
Position Id: 2025-3930
Posted 9 hours ago

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