Data Engineer

Nicholas & Company Inc•Salt Lake City, UT

6h•Onsite

About The Position

We are seeking a high skilled and motivated Sr. Data Engineer to join our team. The successful candidate will play a crucial role in building and maintaining our data infrastructure and analytics capabilities. You will work collaboratively with our data science and business intelligence teams to ensure the efficient flow and quality of data across our systems.

Requirements

Master’s degree in Information Systems, Computer Science, Data Science, or a related field.
At least 5 years of experience as a Data Engineer or in a similar data-focused role.
Previous hands-on experience with Amazon Redshift.
Previous experience in Python for data processing and analysis.
Previous experience in developing ETL workflows and data pipelines.
Ability to be familiar with Spark for data processing.
Ability to work independently and part of a team as well.
Ability to have strong communication and collaboration skills.
Ability to be proficient with Git for version control and collaboration.
Ability to have strong problem-solving skills with an analytical mindset.
Ability to have high attention to detail and a commitment to data quality.
Ability to be proficient in Power BI and Looker for building impactful dashboards.
Ability to understand machine learning concepts and the ability to work ML models.
Working knowledge of HVR and Matillion for data integration.
Working knowledge of querying, analysis, and database management.

Nice To Haves

Previous experience working in Agile environment is a plus.

Responsibilities

Design, develop, and maintain robust ETL processes for extracting, transforming, and loading data from various data sources to our data warehouse.
Collaborate with data analysts and stakeholders to understand data requirements and build efficient data models.
Develop and optimize scalable data pipelines to handle large volumes of data efficiently using Spark and other big data technologies.
Utilize tools like HVR and Matillion to integrate data from diverse sources, ensuring data integrity and availability.
Create and maintain dashboards and reports using PowerBI and Looker to support business decision-making.
Manage and optimize data storage solutions on platforms like Amazon Redshift to enable efficient querying and data analysis.
Work with cross-functional teams, including data science, software engineering, and business intelligence, to deliver comprehensive data solutions.
Collaborate on the development and deployment of machine learning models, ensuring proper data preprocessing and management.
Use Git for code versioning and collaboration on data projects.