Senior Big Data Developer - ETL & Warehouse

Lambdanets Services

Columbus (OH)

Sur place

USD 120 000 - 170 000

Plein temps

14 jours+

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Résumé du poste

Lambdanets Services in Columbus, OH seeks a Big Data Developer to contribute at a senior level to data warehouse design and scalable data processing. You will implement robust data transformations, design patterns for engineering teams, and ensure best practices across the Hadoop stack.

You will collaborate with multiple groups to keep the big data platform operable and ready for reporting and analysis. The role requires 5+ years in Big Data, expertise with Hadoop ecosystems (HDFS, MapReduce,

Qualifications

  • Bachelor’s degree in a computer-related field or equivalent experience.
  • 5+ years of relevant work experience in Big Data.
  • Experience with Data Warehouse design and ETL.
  • Experience in the Hadoop stack (HDFS, MapReduce, Pig, Hive).
  • Experience in multi-petabyte data environments.
  • Experience engineering large-scale distributed systems in production.

Responsabilités

  • Contribute at a senior level to data warehouse design and data preparation.
  • Perform data transformations to populate warehouse tables optimized for reporting.
  • Establish robust design and programming patterns for engineers and non-technical audiences.
  • Design, integrate and document components for data extraction and analysis on big data platforms.
  • Ensure best practices are adopted in Big Data stack and train team members.
  • Collaborate with multiple groups to maintain big data stack operability.

Connaissances

Big Data
DW design
ETL
Distributed systems
Team collaboration

Formation

Bachelor's degree in CS/CE or equivalent

Outils

Hadoop
Pig
Hive
ETL tooling

Description du poste

Lambdanets Services in Columbus, OH seeks a Big Data Developer to contribute at a senior level to data warehouse design and scalable data processing. You will implement robust data transformations, design patterns for engineering teams, and ensure best practices across the Hadoop stack.

You will collaborate with multiple groups to keep the big data platform operable and ready for reporting and analysis. The role requires 5+ years in Big Data, expertise with Hadoop ecosystems (HDFS, MapReduce,

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Health insurance
Wellness program
Paid time off