Back to Jobs
VeeRteq Solutions Inc.

Data Engineer AWS, Bedrock at VeeRteq Solutions Inc.

VeeRteq Solutions Inc. Chicago, IL

Job Description

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 Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full Time Experience: years Vacancy: 1

Resume Suggestions

Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.

Quantify your achievements with specific metrics and results whenever possible to show impact.

Emphasize your proficiency in relevant technologies and tools mentioned in the job description.

Showcase your communication and collaboration skills through examples of successful projects and teamwork.

Explore More Opportunities