Develop, implement, and maintain enterprise data management solutions.
Assist with the development and maintenance of an overall organizational data strategy.
Design and build data processing flows to extract data from various sources.
Load data into data storage systems, specifically Microsoft SQL Server, MongoDB, and Snowflake.
Transform data using industry-standard techniques.

Requirements

Minimum of 4+ years of experience working in data-related positions with increasing responsibility and scope of duties.
4+ years working with relational databases.
3+ years working with analytical data workloads.
2+ years working with batch data processing technologies.
Bachelor’s Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.
Demonstrated experience with relational and non-relational data storage models.
Hands-on experience with extract, transform, load (ETL) process design.
Practical experience with industry-accepted standards and precision for implementing a well-designed enterprise data architecture.
Technical Skills and Experience: Data processing experience in a production environment with terabyte-sized datasets.
Required Languages: Python and SQL.

Benefits

Contexture provides a comprehensive benefits package. For details, please request a Benefit Summary from our Benefits Department.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

data management solutionsdata strategydata processing flowsdata storage systemsMicrosoft SQL ServerMongoDBSnowflakeETL process designPythonSQL

Bachelor’s Degree