Chapter Lead- Data Engineer

Key Responsibilities

• structuring end-to-end processes of data extraction, transformation, and storage to deploy models and analytical solutions in real-time and offline analytic processing
• handling activities such as quality assurance, data migration and integration, and solution deployment to ensure the business gets the best value
• implementing, maintaining, and further developing ETL processes, data lineage, and observability across large-scale data ingestion from a variety of sources
• designing and implementing data flows to ensure efficient and reliable data movement (e.g. unit and integration tests)
• providing technical support in understanding business problems and designing smart data products
• collaborating within an agile culture, contributing to the team’s success
• maintaining strong relationships with stakeholders to ensure collaboration and delivery of objectives (relationship creation and management of broader team’s stakeholders to ensure strong connection and collaboration for team)
• continuing self-development and researching best-in-class analytical approaches (management and/or development and capability building of Junior/Senior Data Engineers)
• leading the chapter.

Qualification & Requirements

You Are a Good Candidate If You Have

• MSc/PhD in statistics, mathematics, or a related field
• 5+ years in a pure analytical/science role
• 3+ years of management experience (management / leadership of related domain experts)
• proven experience in executive communications
• experience setting team vision and strategy
• significant commercial experience in a similar position
• proficiency with Python (inc. strong data analytics skills using Python)
• excellent software engineering skills (including unit testing, integration testing, OOP)
• experience working with large datasets through Spark and RDBMS
• solid knowledge of PySpark with the ability to apply it to write Spark applications as well as analyze data in a distributed environment
• experience working with a large development team (CI/CD)
• very good SQL skills and ability to extract information from databases
• ability to build and maintain strong collaborative relationships with stakeholders across the business
• demonstrated ability to effectively manage multiple simultaneous projects and deliverables
• communicate effectively with various stakeholders, tailoring your message to your audience’s level of technical understanding
• excellent written and verbal English.

You Are a Perfect Candidate If You Have

• experience with Azure development environment
• experience in building/releasing Infrastructure as Code (e.g. Terraform)
• experience with containerization technologies and orchestrators (e.g. Docker and Kubernetes)
• understanding of machine learning models, deployment, and monitoring
• interest in machine learning and/or desire to develop skills.

Benefits

• Insurance Benefits
• Retirement Benefits
• Vacation Policy
• Other Perks and Benefits…