Who We’re Looking For
We’re excited to add a Data Engineer to our Cloud, Data & AI Solutions Team. In this role, you’ll work with a team of customer-focused professionals who are committed to defining technical strategy, architecting, designing, and delivering end-to-end digital transformation. You'll demonstrate strong technical competence and business acumen through engaging in senior-level technology decision-making discussions related to agility, business value, data warehousing, and cloud-oriented data solutions.
At Concurrency, we believe in living out our core values every day. These principles guide our actions, decisions, and interactions:
Be Yourself: Be the best version of your whole self. Your authenticity matters.
Be Bold: Bravely and respectfully take risks and challenge the norm.
Have a Growth Mindset: Be open to learning and apply your expertise.
Be the Difference: Ensure that every interaction with your colleagues, clients and community improves their lives. Pay it forward.
Assume Positive Intent: Lead with giving the benefit of the doubt.
What You'll Need
- Over 2 years of experience designing and delivering modern data solutions on Microsoft Azure and/or Microsoft Fabric.
- Experience developing and supporting Microsoft Fabric workloads including Data Factory, Lakehouse, Warehouse, Notebooks, or Real-Time Analytics.
- Understanding of Medallion Architecture (Bronze, Silver, Gold) and modern data engineering best practices.
- Experience building ELT/ETL pipelines using SQL, Python, PySpark, Data Factory, or similar cloud-native technologies.
- Strong SQL development skills, including stored procedures, data transformation logic, and performance optimization.
- Knowledge of dimensional modeling, star schemas, Data Vault, and other analytical data modeling techniques.
- Ability to gather business requirements and translate them into source-to-target mappings, data models, and technical solutions.
- Experience developing semantic models, reports, and dashboards using Power BI.
- Understanding of data governance, data quality, security, and performance considerations within cloud data platforms.