Data Engineer AWS, Bedrock

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profile Job Location:

Chicago, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job 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 GlueAthena 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
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 fr...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala