Analytics principal engineer
3 meses atrás
Our Analytics team(s) has expertise in several fields including, but not limited to, Databricks, Delta Llake, SQL Server, Azure Data Warehouse, SSRS, and SSIS.
The Role
We’re looking for an Analytics Principal Engineer to join our Analytics teams.
You will help teams devise elegant and performant solutions to real business problems, guide them in designing and implementing these solutions in code, teach coding, testing, and performance analysis techniques, while also carrying out code reviews. You will frequently attend teams scrum events (especially refinements) and help teams product owners better understand of the technical challenges involved.
Production problems are usually escalated to the Principal Engineer for triaging before landing in a team s backlog.
Principal Engineers should also stay up to date on the latest technologies and drive their adoption.
Responsibilities
Lead team enablement initiatives;
Orchestrate plans by motivating other team members and collaborating closely to achieve ithem;
Break efforts down and guide the reporting engineers through gaps to lead them to sound
technical solutions;
Share technical expertise and knowledge sharing. Present practices, innovations, and inventions
inside and outside of the organization;
Partner with management to find new potential talent;
Mentor engineers to take them to the next level of their careers;
Set up cross-organization engineering best practice standards and guidelines. Create a culture
where contribution patterns and quality are paramount. Partner closely with teams to implement
these standards.
Requirements
Must have:
8+ years of hands-on experience in writing complex, highly optimized SQL code for data
manipulation and reporting;
5+ years of experience in ETL/ELT, Data Modeling, Data Warehouse Architecture and Reporting
tools;
Knowledge of Data Governance;
Good people skills;
Team player, analytical thinker and problem solver, with ability to self-organize;
Fast learner - you will need to get up to speed on business, people and teams, infrastructure and
the technologies used, as quickly as possible.
Advanced or Fluent English
Nice to have:
A bachelor s degree in a quantitative/technical field (e.g. Computer Science, Statistics,
Engineering) or equivalent industry experience;
Experience in the Microsoft BI stack (SQL Server, SSRS, SSAS);
Experience with Azure Data platforms such as Synapse Analytics, Data Lake, Databricks;
Experience in programming languages preferable in Python or Scala;
Exposure to CI/CD;
Exposure to an Agile team-working environment.
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