Senior Data Engineer – Python, PySpark & AWS

Posted Yesterday
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Plano, TX, USA
In-Office
Senior level
Information Technology • Software • Consulting
The Role
Develop and maintain scalable ETL/ELT pipelines and distributed data processing solutions using Python, PySpark, and AWS. Build cloud data solutions with S3, EMR, and Lambda; automate infrastructure with Terraform; integrate REST APIs, Kafka, and MQ; support Cassandra storage; orchestrate workflows with Airflow and Control-M; and troubleshoot performance, reliability, and data quality issues.
Summary Generated by Built In

Senior Data Engineer – Python, PySpark & AWS

Location: Plano, TX

Relocation : Open

Open for W2 only- No c2c/1099 or third party resumes

Due to the nature of the roles client is only accepting USC/GC /GC EAD only no other visas accepted.

 

Role Overview

We are seeking a hands-on Senior Data Engineer with strong Python, PySpark, and AWS experience to develop and maintain scalable data pipelines and distributed data processing solutions. The ideal candidate will have experience supporting production data engineering workloads, cloud infrastructure, and data orchestration.

Key Responsibilities

  • Develop, test, and maintain ETL/ELT data pipelines using Python and PySpark.
  • Build and support big-data processing solutions on AWS using S3, EMR, and Lambda.
  • Implement infrastructure automation using Terraform.
  • Develop data integrations using REST APIs, Kafka, and MQ messaging.
  • Support data storage and retrieval using Cassandra.
  • Orchestrate and monitor workflows using Airflow, Control-M, and native schedulers.
  • Troubleshoot pipeline failures and optimize performance, reliability, and data quality.

Required Skills

  • Strong hands-on Python and PySpark experience.
  • Experience with big-data processing and production data pipelines.
  • AWS experience with S3, EMR, and Lambda.
  • Working knowledge of Terraform.
  • Familiarity with Kafka, MQ messaging, REST APIs, Java, and Cassandra.
  • Experience with Airflow, Control-M, or other workflow scheduling tools.

Preferred: Databricks experience and exposure to machine-learning workflows.



Skills Required

  • Strong hands-on experience with Python and PySpark
  • Experience with big-data processing and production data pipelines
  • AWS experience with S3, EMR, and Lambda
  • Working knowledge of Terraform
  • Familiarity with Kafka, MQ messaging, REST APIs, Java, and Cassandra
  • Experience with Airflow, Control-M, or other workflow scheduling tools
  • Must be available for W2 employment only; no C2C, 1099, or third-party resumes
  • Must be a U.S. citizen, green card holder, or green card EAD holder
  • Databricks experience and exposure to machine-learning workflows
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The Company
8 Employees

What We Do

SCI Solutions Global LLC is a U.S.-based technology consulting and talent-solutions company. It provides digital-transformation services, IT project-delivery support, skilled technology professionals, and scalable software solutions to businesses ranging from startups to large enterprises. The company helps clients address technology challenges, build high-performing teams, and improve business outcomes through tailored consulting, staffing, systems, and software expertise across multiple industries and technology disciplines.

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