Big Data/Data Warehouse Engineer Consultant (No 3rd parties)

  • Columbus, OH
  • Posted 12 hours ago | Updated 12 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 11 Month(s)

Skills

Big Data/Data Warehouse Engineer
Consultant

Job Details

Big Data/Data Warehouse Engineer Consultant

No 3rd parties, please.

Local candidates only

Location: Columbus, OH (Onsite 5 days/week)
Schedule: M F, 8:00 AM 5:00 PM EST
Interview: Video


We are seeking a Technical Specialist to design, develop, migrate, and maintain enterprise data warehouse and Big Data solutions. This role involves building data marts, integrating data from multiple sources, and supporting large-scale analytics initiatives. You will work closely with data governance, analytics, and IT operations teams to deliver robust ETL/ELT pipelines, optimize performance, and ensure data quality.

Key Responsibilities

  • Design, develop, and maintain Hadoop/Hive/Impala data ingestion and ETL/ELT processes.

  • Create PySpark, Sqoop, and StreamSets jobs for data migration and analytics.

  • Model and manage STAGE/ODS/Data Warehouse tables.

  • Perform data analysis, profiling, and quality checks.

  • Optimize query and job performance; implement reusable frameworks.

  • Manage deployments, runbooks, and technical documentation.

Required Skills

  • 8+ years in Big Data/Data Warehousing with Hadoop, Hive, Impala, Spark, Sqoop, PySpark, and related tools.

  • Strong SQL (Oracle & Hadoop) with performance tuning experience.

  • Proficiency in Unix/Linux scripting.

  • Experience with PHI/PII data handling and data security.

  • Familiarity with Agile and Waterfall project methods.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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