As a member of the global data engineering team, reporting to the Data and Analytics Manager, this role has a primary focus on contributing to our enterprise data movement, warehousing and reporting deliverables. Responsibilities include designing, creating, and maintaining business intelligence assets, pipelines and reports that drive innovation, client value and business efficiency.
This position will be working across our largest business units and experience with multi-terabyte database systems is required. Assisting primarily through maintaining and implementing an array of data synchronization efforts across numerous systems both on-premises and in the cloud. You will coordinate with our data architects, product management, and IT management to ensure that our data pipelines for both internal operations and customer reporting are accurate, scalable, and secure.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to
HR@insightglobal.com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
https://insightglobal.com/workforce-privacy-policy/ .
- Proven experience working at enterprise scale with multi-terabyte database systems.
- Strong Pandas experience
- Security focused development practices, particularly with egress of On-Prem data to cloud.
- Expertise with Microsoft SQL Server and SQL Server Integration Services.
- Experience in automation using coding/scripting languages such as Python and PowerShell.
Proficiency with Python is a must.
- Proficiency with source control, CI/CD practices and pipeline deployment methods.
- Strong prioritization, time management and organizational skills
- Prior use of orchestration tools such as Prefect or Dagster would be an advantage.
- Familiarity with cloud base tooling -- Snowflake, DBT or Coalesce, Fivetran.
- Containerization experience such as Docker is also advantageous.
- Expertise in parallel processing warehouses (Snowflake/Redshift),
- High-frequency differential ETL processes,
Agile development methodology.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.