Data Engineer

LOCATION: Remote/NYC | FULL-TIME | BENEFITS: 401k match, Dental, Vision, Unlimited PTO

Description

We are looking for a Data Engineer who will work simultaneously with our business intelligence teams who will be responsible for database activities centered around delivering/building impactful solutions and improving our database systems. This is a multi-faceted role that includes technical analysis, design, development, testing and maintenance as well as user interaction including requirements gathering, training, etc. This role will work on on-premise SQL data warehouse platform and helping to build out the data platform of the future in Azure.

Description:

  • Build out and migrate to cloud data technologies, which may include Azure Data Lake, Azure SQL Pools, Apache Spark, Synapse

  • SQL Server Database development work including tables, views, stored procedures and functions. SSIS development for ETL processes

  • Performance tuning and testing of BI structures

  • Participation in the design of data models

  • Collaborate with BI Team members

  • Collaborate on requirements definition, design and build out of key data warehousing and integration deliverables for Supply Chain, Brand Insights, Digital, Sales and other areas

  • SQL scripting to perform essential data maintenance functions including reclassifications, some master data setup and more

  • Data preparation and modeling using the Power BI platform as well as Analysis Services-Tabular

  • Maintenance and extension of our SQL server jobs and Azure PowerShell runbooks for update of our SQL and Azure environments

Requirements

• Three to five years of hands-on experience with database management.

• Microsoft SQL Server, Azure data technologies, Power BI training Required

• Hands-on experience with data visualization tools (DataRobot, SnowFlake & Domo)

• 3+ years hands-on development experience with SQL Server, SSIS

• Powershell experience a must

• Python scripting a plus

• Analytical thinker with excellent problem-solving skills

• Ability to meet deadlines.

Previous
Previous

Data Scientist (US Remote)

Next
Next

Data Science Manager