Azure Data Engineer

JOB DETAILS Role Title: Senior Data Engineer Seniority level: 8+ years of experience Must- have technologies: -Informatica, Azure Databricks, Power BI, SAP BO, Power Apps -Extensively experience on Informatica and PowerBI Good to Have: Exposure to trading/financial markets data Role Overview We are seeking a Senior Data Engineer to design and deliver scalable data integration, transformation, and analytics solutions across Azure. The ideal candidate will have strong expertise in Informatica, Databricks, and BI enablement, with a focus on data quality and efficient data modelling. Experience with financial /trading datasets is an added advantage. Key Responsibilities: -Build and maintain data pipelines using Informatica and Azure Databricks (Spark/Delta Lake). -Design and optimize data lake/lakehouse models, ensuring performance, reliability, and governance. -Enable BI consumption by preparing clean, curated datasets for Power BI and SAP BO. -Implement data quality rules, monitoring, and exception handling frameworks. -Collaborate with business, analytics, and technology teams to understand requirements and deliver robust data solutions. -Apply DevOps practices including Git, CI/CD, and automated testing for data pipelines. -Support creation of lightweight workflow/ops tools using Power Apps (nice to have). Required Skills: -7+ years of experience in data engineering within enterprise environments. -Strong hands-on experience with Informatica ETL, Azure Databricks, Spark, Delta Lake, and Azure data services. -Proficiency in SQL and Python (or Scala). -Experience preparing data models and datasets for Power BI and/or SAP BO. -Practical understanding of data quality frameworks, metadata, and lineage. -Strong problem-solving, documentation, and stakeholder communication skills. Nice to Have: -Knowledge of financial markets/ trading data: trades, pricing, positions, reference data, market data. -Power Apps / Power Platform experience. -Familiarity with data governance tools and controls.