As a Senior Data Engineer, your responsibilities will include:

* Assisting in the development of large-scale data structures and pipelines to organize, collecting and standardizing data that helps generate insights and addresses business and reporting needs

* Writing ETL (Extract / Transform / Load) processes, designing database systems and developing tools for analytic processing

* Collaborating with stake holders to transform data and integrate with other systems leveraging automated processes

* Using knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines

* Using programming skills in Python or any of the major languages to build robust data pipelines and dynamic systems

* Building data marts and data models to support clients and other internal customers

* Integrating data from a variety of sources, assuring that they adhere to data quality and accessibility standards

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/ .

Required Skills & Experience

1. Google cloud composer

2. Big Query

3. Dataproc

4. Pyspark

5. Flask framework (for UI development)

6. GKE

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.