Data Engineer

Role Overview

The Data Engineer creates and maintains data pipelines for key data and analytics capabilities in the enterprise. This position works in collaboration with analytics and data warehousing staff, DBAs and subject matter experts to create reliable processes that load targeted data with integrity and quality, enabling it for strategic use by the business.

What You Will Do

Build and maintain data pipelines for using appropriate tools and practices in development, test and production environments. Design with modularity to leverage reuse of code wherever possible. Create data mappings, programs, routines and SQL to acquire data from legacy, web, cloud and purchased package environments into the analytics environment.

Why It Might Be a Fit

Typically has the following skills or abilities: Bachelor’s degree in computer science, data science, statistics, economics or related functional area; or equivalent experience. Effective written and verbal communication skills with the ability to gather requirements and effectively collaborate with teammates and business partners.

Requirements

• Bachelor’s degree in computer science, data science, statistics, economics or related functional area; or equivalent experience
• Effective written and verbal communication skills with the ability to gather requirements and effectively collaborate with teammates and business partners
• 4+ years’ experience working in a development team providing analytical capabilities
• 4+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT / data pipeline design
• SQL coding experience
• Familiarity with agile development environments (Scrum, Kanban) with a focus on Continuous Integration and Delivery
• Previous experience using a data integration platform (IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and familiarity with data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.
• Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is also beneficial

Benefits

• Dental insurance
• Vision insurance

Tagged as: Snowflake, SQL