Data Engineer - Minneapolis, MN, Detroit, MI, Madison, WI, Columbus, OH, Chicago, IL.
Why this role stands out
This hybrid Data Engineer role offers a fantastic opportunity to shape critical data infrastructure and drive impactful business intelligence initiatives within a reputable company. You'll thrive here if you're a skilled engineer eager to expand your cloud and ETL/ELT expertise while collaborating with a dynamic team across multiple vibrant Midwestern cities. Apply today to leverage your talents and grow your career in this exciting position!
Quick overview
Job description
Job Title: AWS Data Engineer
Location: Minneapolis, MN, Detroit, MI, Madison, WI, Columbus, OH, Chicago, IL.
Contract: 12+ Months
Looking for W2 candidates. No C2C
Job Summary:
We are seeking an AWS Data Engineer with expertise in big data processing, cloud-native data engineering, and streaming architectures. The ideal candidate should possess strong experience building enterprise data platforms using AWS analytics services.
Key Responsibilities:
• Develop scalable AWS data pipelines.
• Build ETL jobs using AWS Glue.
• Develop PySpark applications on EMR.
• Design Redshift data warehouse solutions.
• Develop streaming pipelines using Kafka.
• Build data orchestration workflows using Airflow.
• Optimize cloud data processing.
• Develop REST APIs for data services.
• Implement data quality monitoring.
Required Skills:
• AWS Glue
• Amazon EMR
• Redshift
• Athena
• S3
• Python
• PySpark
• SQL
• Kafka
• Apache Airflow
• Docker
• Git
Preferred Skills:
• Snowflake
• dbt
• Iceberg
• Delta Lake
• Lambda
• Step Functions
Mandatory Skills:
• AWS Glue
• EMR
• Redshift
• PySpark
• SQL
• Kafka
• Airflow
• S3
• ETL
• Python
Best Regards:
Bindu M
Phone: 307–298-2022
Email:
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