Python Data Engineer

Sci Solutions Global
Plano, TX, United States
11 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Java (Programming Language) Airflow Amazon Web Services Big Data Information Engineering Python (Programming Language) Machine Learning Software Engineering Scripting Electronic Medical Records AWS Lambda Pyspark
+6 more
Cassandra Apache Kafka Restful APIs Terraform Databricks Control M

Job description

Hiring: Python Data EngineerLocation: Plano, TX-Onsite* Type: W2 Only* Work Authorization: US Citizen, Green Card, or GC EAD preferred* Locals highly preferredNo C2C, 1099, or third-partyprofiles accepted.* Strong hands-on experiencein Python, PySpark and Bigdata technologies for data engineering.* Practical experience with AWS, specificallyS3, EMR, and Lambda.* Working knowledge of Terraform(infrastructure as code).* Working knowledge on Java, Rest API, MQMessaging, Kafka, Cassandra* Working knowledge on Airflow, Control-M,native schedulersNice to have* Experience with Databricks (workspaces,notebooks, jobs).* Familiarity with machine learning models(e.g., training/inference workflows, model lifecycle) is a plus.

Requirements

Software Engineering, Python Programming/Scripting Language, United States Citizen, EAD, Python Programming/Scripting Language, Software Engineering, Electronic Medical Records, Amazon Web Services (AWS), AWS Lambda, Java, Location: Plano, TX-Onsite* Type: W2 Only* Work Authorization: US Citizen, Green Card, or GC EAD preferred* Locals highly preferred

No C2C, 1099, or third-partyprofiles accepted.

  • Strong hands-on experiencein Python, PySpark and Bigdata technologies for data engineering.

  • Practical experience with AWS, specificallyS3, EMR, and Lambda.

  • Working knowledge of Terraform(infrastructure as code).

  • Working knowledge on Java, Rest API, MQMessaging, Kafka, Cassandra

  • Working knowledge on Airflow, Control-M,native schedulers

Nice to have

  • Experience with Databricks (workspaces,notebooks, jobs).

  • Familiarity with machine learning models(e.g., training/inference workflows, model lifecycle) is a plus.

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