Senior Big Data Engineer - Data Warehouse & ETL

Lambdanets Services; Columbus (OH); On-site; USD 95,000 - 150,000; Full time

Job summary

Lambdanets Services in Columbus, OH is seeking a Big Data Developer to design and optimize our data warehouse and big data stack. You will contribute at a senior level to data architecture, performance optimization, and scalable data pipelines.

The role requires 5+ years in Big Data, experience with Hadoop ecosystem, ETL, and distributed systems in production. You will collaborate with multiple teams to ensure robust data solutions and operational excellence.

Qualifications

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

Responsibilities

• Contribute at a senior level to data warehouse design and data preparation.
• Implement robust data transformations to populate warehouse tables optimized for reporting.
• Establish efficient design patterns for engineers and non-technical stakeholders.
• Design, integrate and document components for data extraction and analysis on big data platform.
• Ensure best practices in Big Data stack and train team members and business units.
• Collaborate with multiple groups daily to maintain big data stack operability.

Skills

Big Data

Data Warehouse design

ETL

Distributed systems

Team collaboration

Education

Bachelor’s degree in computer-related field

Tools

Hadoop

HDFS

Pig

Hive

Job description

Lambdanets Services in Columbus, OH is seeking a Big Data Developer to design and optimize our data warehouse and big data stack. You will contribute at a senior level to data architecture, performance optimization, and scalable data pipelines.

The role requires 5+ years in Big Data, experience with Hadoop ecosystem, ETL, and distributed systems in production. You will collaborate with multiple teams to ensure robust data solutions and operational excellence.