Reporting Engineer Team Lead (Big Data)

Key Skills

Agile methodologies, Analytical and Problem solving, Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Data Architecture, Data Lake, Data Modeling, Data Warehousing, Databricks, ETL/ELT technologies, Python Programming, Scala Programming, SQL, Statistics

Job Description

We’re looking for a Reporting Principal Engineer to join our Big Data reporting team, who will help teams devise elegant and performant solutions in response to real business problems, guide them in designing and implementing these solutions in code, as well as teach coding, testing, and performance analysis techniques, while also carrying out code reviews. Will frequently attend teams' scrum events (esp. refinements) and help teams' product owners shape a better understanding of the technical challenges involved. Production problems are usually escalated to 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.

The Team

Our Big Data reporting team(s) consists of twelve members with diverse backgrounds and expertise in several fields including, but not limited to, Databricks/ Delta lake/ SQL Server/ Azure Data Warehouse/ SSRS/ SSIS.

Responsibilities

• Lead team enablement initiatives;
• Orchestrate the plan by motivating other team members and collaborating closely in achieving it;
• Break the efforts down and work closely by guiding the reporting engineers through gaps to lead them to sound technical solutions;
• 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 the contribution patterns and quality are paramount. They partner closely with teams to implement them.

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;
• 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.

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.