Senior Data Warehouse & Big Data Engineer

Lambdanets Services; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

Lambdanets Services is seeking a Senior Big Data Developer to lead data warehouse design and data preparation for key business flows in Columbus, OH. You will transform data for reporting and set patterns for engineers and non-technical users.

The role requires deep experience with the Hadoop ecosystem, multi-petabyte environments, and production-grade distributed systems. Collaborative, cross-team work is essential.

Qualifications

• Bachelors degree in 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 Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, etc.)
• Experience working extensively in multi-petabyte data environment
• Experience in engineering large-scale distributed systems in a production environment

Responsibilities

• Contribute at a senior-level to the data warehouse design and data preparation by implementing a solid, robust, extensible design that supports key business flows.
• Perform all of the necessary data transformations to populate data into a warehouse table structure that is optimized for reporting
• Establish efficient design and programming patterns for engineers as well as for non-technical individuals.
• Design, integrate and document technical components for seamless data extraction and analysis on big data platform.
• Ensure best practices to be adopted in Big Data stack and train team members and BUs.
• Work in a team environment, interact with multiple groups on a daily basis to maintain big data stack operability.

Skills

Big Data

ETL

Data Warehouse design

Hadoop

HDFS

Pig

Hive

Education

Bachelor's degree or equivalent experience

Tools

Hadoop

HDFS

Pig

Hive

Job description

Lambdanets Services is seeking a Senior Big Data Developer to lead data warehouse design and data preparation for key business flows in Columbus, OH. You will transform data for reporting and set patterns for engineers and non-technical users.

The role requires deep experience with the Hadoop ecosystem, multi-petabyte environments, and production-grade distributed systems. Collaborative, cross-team work is essential.