Why This Role Stands Out
This hybrid Data Engineer role offers a fantastic opportunity to build cutting-edge analytics platforms and AI-ready data pipelines using modern Azure technologies like Microsoft Fabric and Synapse Analytics. You'll thrive here if you have strong cloud data engineering expertise and are eager to contribute to impactful projects within a reputable company. Apply today to advance your skills and career in a dynamic environment!
Quick Overview
Job Description
Job Title: Data Engineer
Location: San Antonio, TX, Dallas, TX, Austin, TX, Houston, TX
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
Mandatory Skills
· AWS Glue
· EMR
· Redshift
· PySpark
· SQL
· Kafka
· Airflow
· S3
· ETL
Best Regards:
Tina
Phone:
Email:
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