Job Description:Skills and Technical ExpertiseData Engineering PlatformsStrong hands-on experience with modern data platforms including:Databricks Apache Spark and distributed data processing Data Visualization and AnalyticsExperience building enterprise dashboards and reports using:Microsoft Power BI Key capabilities:Data modeling for BI Dashboard performance optimization Advanced analytics and visualization Data Processing and ProgrammingStrong programming experience in:Python SQL PySpark Spark SQL Experience building high-performance distributed data processing pipelines.Data Ingestion and IntegrationExperience integrating data from multiple sources including:REST APIs Relational databases Cloud storage platforms Enterprise SaaS applications Knowledge of ingestion frameworks such as:Kafka Event-driven data pipelines Data Architecture and ModelingStrong understanding of:Data warehouse architecture Dimensional modeling Data lakehouse architecture Data partitioning and indexing strategies Cloud and Data Platform KnowledgeExperience working with cloud data platforms including:AWS / Azure data services Distributed storage systems Data lake architecture Data Governance and QualityExperience implementing:Data quality monitoring Data lineage tracking Metadata management Data governance frameworks Preferred QualificationsExperience with lakehouse architecture Experience with data orchestration tools Experience with streaming data platforms Knowledge of data security and access control Nice to HaveExperience with machine learning data pipelines Experience with real-time analytics Experience with large-scale enterprise data platforms
Job Title
Senior Data Engineer – Databricks & Power BI_ Exp: 8–10 Years