This person will join the Store and Supply Chain Team. Originally, all of the Store and Supply Chain data was stored in an old, specialized data warehouse. These two data engineers will be responsible for moving their data into a new UC (unity catalog) that is well-governed and compliant. This position is responsible for design, development, testing and support for data pipelines to enable continuous data processing for data exploration, data preparation and real-time business analytics.
1. Demonstrate deep knowledge the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline and technology capabilities
2. Build fault tolerant, self-healing, adaptive and highly accurate data computational pipelines
3. Provide consultation and lead implementation of complex programs
4. Develop and maintain documentation relating to all assigned systems and projects
5. Tune queries running over billion of rows of data running in a distributed query engine
6. Perform root cause analysis to identify permanent resolutions to software or business process issue
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.
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- 7+ Years of experience as a Data Engineer with the following technologies
- Strong/expert Spark (PySpark) Using DataBricks
- Hands on data pipeline development, ingest patterns in Azure
- Orchestration tools- Airflow
- SQL
- Denormalized Data modelling for big data systems
- Strong analytical and design skills
- Bachelors degree in computer science, management information systems, or related discipline, or equivalent work experience
- Version Control GIT /CICD
Benefit packages for this role will start on the 31st 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.