Data Engineer

Vsg Business Solutions

Tulsa, OK, United States

26 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$65,000.0 - $90,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Airflow Amazon Web Services Data Analysis Big Data Information Engineering Extract Transform Load (ETL) Data Structures Distributed Computing Environment Python (Programming Language) Systems Architecture Data Processing

+9 more

Scripting Snowflake Apache Spark Data Lakes Pyspark Production Code Software Coding Data Pipelines Control M

Job description

Build and manage ETL pipelines for Data Lake and Snowflake
Automate data analysis and aggregation processes
Design scalable data processing solutions
Develop and optimize large-scale Spark/PySpark applications
Contribute to system architecture and production-quality code

Additional Notes:

Strong Data Engineering background is mandatory.
Heavy hands-on experience with PySpark, ETL, and Control-M is required.
Java is NOT required. Any scripting language experience is acceptable.
Open to 601, 602, and 603 level candidates.

Requirements

Strong Python programming (core Python, not just PySpark)
Expert-level Apache Spark / PySpark
Hands-on ETL development with large-scale data pipelines
Strong Data Structures & Algorithms
Production experience with distributed data processing
AWS Big Data services (EMR, Glue)
Snowflake
Data Lake
Control-M
Airflow
Strong software engineering fundamentals
Excellent problem-solving and live coding skills
Ability to explain projects and technologies confidently

Benefits & conditions

$65,000-90,000 per year

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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Empowering domain teams with an open data platform

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Defining big data and machine learning fundamentals

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Harnessing Spark with Python using PySpark and Py4J

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Why organizations combine big data and machine learning

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Capabilities of the Apache Spark processing engine

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