Senior Data Engineer (Backfill)

Job Description

Insight Global is looking for a skilled Senior Data Engineer to work remotely in Canada for a large AAA game employer on a 6-month contract. You will be working with the data products team on the core metric platform for centralized reporting for all games. This platform is built off Snowflake warehouse with heavy DBT core workflow and improvement opportunities. They are currently using a Power BI visualization tool. A high level of DBT proficiency is required, including knowing best practices and being able to advise on process improvement and optimizations. 50% of your time will be spent coding in Python, and 50% of your time will be spent in documentation, ETLs and Git. A self-starter is needed as about half of your time will be spent in self-directed work and the half your time will be spent completing tasking that are assigned to you.

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 ~~~ .

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Skills and Requirements

8+ years of data engineering experience

5+ years of experience with DBT Core (not DBT Cloud) conducting macros, models, unity cases, upgrades etc.

Proficiency in Snowflake warehouse

5+ years of experience in ETL orchestration and workflow management tools, designing data pipelines (both large and small), and processing code for scalability and performance.

Strong understanding of data modeling, warehousing, and building ETL/ELT/EtLT pipelines

Git/Gitlab/Github experience

Airflow workflow experience

Proficiency in programming languages such as Python (preferred) or SQL (cloud, not local)

Experience using containerization technologies such as Docker or Kubernetes

Excellent written and verbal communication skills, ability to simplify and synthesize complex constructs

Ability to thrive in a fast-paced, dynamic environment Knowledge or experience in Data mesh or Data Lake House Designs 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 ~~~.