Application Software Developer

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

Job summary

Lambdanets Services is seeking a senior Big Data Developer in Columbus, OH. The role focuses on data warehouse design, data preparation, and robust data transformation to support reporting across business units.

The candidate will contribute senior-level expertise to the Big Data stack and collaborate with cross-functional teams. Requirements include a Bachelor’s in a computer-related field and 5+ years in Big Data, with hands-on experience in Data Warehouse design, ETL, and Hadoop technologies.

Qualifications

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

Responsibilities

• Contribute at a senior level to data warehouse design and data preparation for key business flows.
• Transform data to populate a warehouse table structure optimized for reporting.
• Establish design and programming patterns for engineers and non-technical stakeholders.
• Design, integrate and document components for data extraction and analysis on a big data platform.
• Promote best practices in the Big Data stack and train team members.
• Collaborate with multiple teams daily to maintain big data stack operability.

Skills

Big Data

Data Warehouse design

ETL

Hadoop stack

Distributed systems

Education

Bachelor’s degree in a computer-related field

Tools

Hadoop ecosystem tools

Job description

Big Data Developer

Location: Columbus OH

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 are 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.

Requirements

• Bachelor’s degree in a computer-related field or equivalent experience in computer systems.
• 5+ years of relevant work experience in Big Data.
• Experience with Data Warehouse design, ETL.
• Experience in the Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, etc.).
• Experience working extensively in a multi-petabyte data environment.
• Experience in engineering large-scale distributed systems in a production environment.

To submit resume Email: [e-mail] or Fax: [phone] or Mail: 2929 Kenny Road, Suite 220, Columbus OH 43221