As a Data Engineer you will:
Deliver data solutions and services that support our internal, proprietary loyalty and campaign platform (CRM), marketing databases, data migrations and reporting/analytics projects for multiple internal (product) and external clients
Provide end-to-end reporting and analytics solutions with supporting data architecture for our client customers.
Be responsible for code and various data management activities that meet project and organizational requirements through collaboration with cross-functional teams (application developers, data and solution architects, infrastructure engineers, project managers, business analysts, QA, technical directors and account managers)
Perform all phases of data engineering including requirements analysis, application design, code development and testing.
Work with large, enterprise-class SQL Server databases
Work with SQL Server as well as newer data technologies like Elasticsearch and the Hadoop ecosystem
Collaborate on performance tuning of business-critical code
Join a team that implements software engineering best practices
Estimate engineering work effort and effectively identify and prioritize the high impact tasks.
Troubleshoot production support issues and identify solutions as required to back up the team on Operational DBA activities.
Use previous experience to maintain the current loyalty and marketing databases.
Ensure queries are efficient and optimized for best performance.
Ensure that schema modifications are modeled appropriately.
Work with QA and development peers to review and test code changes in lower environments.
Understand, manage and troubleshoot SQL server agent jobs and monitoring software while contributing scripts to improve the predictability of database system health.
As a Data Engineer, you will have:
3+ years of experience with SQL Server development (T-SQL) versions 2012+ in medium-large database implementations.
Strong knowledge of SQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS).
Proficient and adept communicating with client customers in varied situations.
Demonstrated success applying data management and engineering best practices.
Strong commitment toward preservation of data quality and integrity.
Understanding of OLTP, OLAP/Data Warehouse (star schema) and mixed workloads
Strong competency writing SQL queries and with relational database modeling and design.
A solid grasp of the Git version control system.
Ability to learn and expand use of PowerShell to manage and monitor databases
Ability to provide general production database and server administration and support
Interest/Experience in expanding beyond SQL server to newer data technologies like Elasticsearch or the Hadoop ecosystem and components.
Apply now to have the opportunity to be considered for similar jobs at leading companies in the Seen network for FREE.
Zero stress and one profile that can connect you directly to 1000s of companies.
We’ll take it from there. After you tell us what you’re looking for, we’ll show you off to matches.
Boost your interview skills, map your tech career and seal the deal with 1:1 career coaching.
Join now and be seen.