Data Engineer

🚀 Senior Databricks Engineer (Contract) Location: Remote Domain: Data Engineering · Finance Data · Analytics Platform We’re seeking a hands-on Senior Databricks Engineer to lead Finance data modelling end-to-end, from ingestion through to governed, visualization-ready data products. You’ll collaborate directly with the CFO and Finance team, shaping the foundation of our Finance analytics, with opportunities to expand into other domains over time. 🔑 What You’ll Do • Design scalable models for Finance domains (P&L, budgets, actuals, forecasting) in Databricks Lakehouse • Develop ELT/ETL pipelines using Delta Live Tables, Spark, and Python/SQL • Apply medallion architecture (Bronze → Silver → Gold) ensuring quality and lineage • Create dashboards with Databricks SQL / Power BI / Tableau • Collaborate with Finance stakeholders to translate requirements into data products • Define governance standards with Unity Catalog (schema, access, cataloguing) • Optimize performance and manage compute costs • Expand platform scope to additional business domains 🎯 What We’re Looking For • 10+ years in data engineering, with 2+ years hands-on in Databricks • Proven ability to build Finance data models (star/snowflake schemas, SCDs) • Strong proficiency in PySpark, SQL, and Python • Experience with Delta Lake / Delta Live Tables (batch & streaming) • Comfortable with BI tools: Databricks SQL, Power BI, Tableau • Familiarity with Unity Catalog or equivalent governance tooling • Ability to engage directly with non-technical Finance stakeholders • Background in retail, supply chain, or finance domains is a plus 🌟 Nice to Have • Exposure to dbt for transformations • Knowledge of finance systems (SAP, Oracle Financials, NetSuite) • Databricks Certified Data Engineer Associate / Professional • Experience expanding a Lakehouse platform beyond its initial domain Interested candidates please share your resume at nidhi.singh@nlbtech.com