Lead Data Engineer

What a Day at Work for You Will Look Like:

• You will analyze current data structures and workflows to identify inefficiencies and opportunities for improvement.
• You will maintain and troubleshoot on-premise data infrastructure.
• You will design and implement optimized data models, schemas, and pipelines to support advanced reporting and analytics.
• You will collaborate with cross-functional teams to understand business objectives and translate them into actionable data requirements.
• You will provide technical leadership and mentorship to internal teams on best practices for data management and architecture.
• You will stay abreast of industry trends and emerging technologies to continuously enhance our data infrastructure and capabilities.

Is This You?

• A go-getter: Leads by example, brings the fire to work every single day.
• A 'why' person: Thinks critically and puts in the additional effort to get to the right conclusion, dares to challenge the status quo and is always on the lookout to improve.
• A spider in the web: Multitasking is your second nature, you thrive dealing with many moving pieces and tying them all up into one harmonious result, to the benefit of your clients.
• 6+ years of experience in Data Warehousing and development using data technologies such as Relational & NoSQL databases, open data formats, building data pipelines (ETL and ELT) with batch or streaming ingestion, loading and transforming data.
• Expert in SQL and/or SQL based languages and performance tuning of SQL queries.
• Strong understanding of Normalized/Dimensional model disciplines and similar data warehousing techniques.
• Strong experience working with ETL/ELT concepts of data integration, consolidation, enrichment, and aggregation.
• Strong understanding of Data Build Tool (DBT).
• Experience with the following cloud platforms: Amazon Web Services (AWS) or Google Cloud Platform (GCP).
• Experience with one or more cloud-based data warehouses – e.g. Snowflake, BigQuery, Synapse, RedShift, etc.
• Experience with PostgreSQL administration – e.g. Streaming Replication, Load Balancing, PG Tuning, etc.
• Experience with Docker and Portainer.
• Grasp of data management principles: Data Lake, Data Mesh, Data Catalog, Data Quality, etc.
• Experience with orchestration tools (Jenkins & Airflow).
• Strong communication skills across different mediums to craft compelling messages to drive action and alignment.
• Comfort with agile delivery methodologies in a fast-paced complex environment – Scrum, SAFe, utilizing tools such as Jira, Confluence, and Bitbucket.
• Proficient in Linux/Unix environments.
• B.S. in Computer Science or a related technical field, or equivalent work experience.

For Internal Reference

• G4C