Senior Data Engineer
Insight Global
Job Description
Our client is looking for Senior Data Engineer to join their growing team of data experts. In this role, you will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and engineer who enjoys optimizing data systems and building them from the ground up. The Sr. Data Engineer will support our data analysts/scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companys data architecture to support our next generation of products and data initiatives.
We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .
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Skills and Requirements
7+ years of professional software development or data engineering experience
5+ years of SQL experience with dimensional data modeling & schema design in relational data warehouses
5+ years of experience in ETL/ELT pipeline design, implementation and maintenance with relational databases
Strong proficiency in Python for data manipulation and scripting
Design, maintain and optimize efficient, scalable end-to-end data pipelines that improve analytics speed and reliability
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Experience deploying production systems in the cloud (AWS, Azure)
Experience with encryption at rest, including multiple approaches and tradeoffs
Storage Tooling: Snowflake, AWS Storage Services (S3, RDS, Glacier)
ETL/BI Tooling: Astronomer, dbt, Airflow Domo, Tableau, PowerBI Advanced Engineering or Technical Degree
Experience in Retail and/or Franchise operations null
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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
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