Apply on Employer Site

Velocity · 1 month ago

Senior Data Engineer

US-KS-Overland Park

Full-time

Onsite

Senior Level

Velocity Staff, Inc. is working with our client located in the Overland Park, KS area to identify a Senior Level Data Engineer to join their Data Services Team. The right candidate will utilize their expertise in data warehousing, data pipeline creation/support and analytical reporting, and be responsible for gathering and analyzing data from several internal and external sources.

AutomotiveElectric VehicleManufacturing

Diversity & Inclusion

Responsibilities

Work with Data architects to understand current data models, to build pipelines for data ingestion and transformation

Design, build, and maintain a framework for pipeline observation and monitoring, focusing on reliability and performance of jobs

Surface data integration errors to the proper teams, ensuring timely processing of new data

Provide technical consultation for other team members on best practices for automation, monitoring, and deployments

Provide technical consultation for the team with “infrastructure as code” best practices: building deployment processes utilizing technologies such as Terraform or AWS Cloud Formation

Qualification

Data warehousingAWS data pipelinesPythonRelational databasesNoSQL databasesTerraformData processingVersion controlSoft skills

Required

Bachelor's degree in computer science, data science or related technical field, or equivalent practical experience

Proven experience with relational and NoSQL databases (e.g. Postgres, Redshift, MongoDB, Elasticsearch)

Experience building and maintaining AWS based data pipelines: Technologies currently utilized include AWS Lambda, Docker / ECS, MSK

Mid/Senior level development utilizing Python: (Pandas/Numpy, Boto3, SimpleSalesforce)

Experience with version control (git) and peer code reviews

Enthusiasm for working directly with customer teams (Business units and internal IT)

Preferred

Experience with data processing and analytics using AWS Glue or Apache Spark

Hands-on experience building data-lake style infrastructures using streaming data set technologies (particularly with Apache Kafka)

Experience data processing using Parquet and Avro

Experience developing, maintaining, and deploying Python packages

Experience with Kafka and the Kafka Connect ecosystem

Familiarity with data visualization techniques using tools such as Grafana, PowerBI, AWS Quick Sight, and Excel

Company

Velocity

Velocity redefines classic car and truck ownership from a state-of-the-art 135,000 sq/ft facility in Northwest Florida, where we design, engineer, and handcraft the finest restomods in the industry.

Founded in 2013