Senior Data Engineer Databricks & Power BI

Key Responsibilities:

• Strong hands-on experience with modern data platforms including Databricks, Apache Spark, and distributed data processing. - Experience building enterprise dashboards and reports using Microsoft Power BI. - Proficient in data modeling for BI, dashboard performance optimization, and advanced analytics and visualization. - Strong programming experience in Python, SQL, PySpark, and Spark SQL. - Experience building high-performance distributed data processing pipelines. - Experience integrating data from multiple sources such as REST APIs, relational databases, cloud storage platforms, and enterprise SaaS applications. - Knowledge of ingestion frameworks like Kafka and event-driven data pipelines. - Solid understanding of data warehouse architecture, dimensional modeling, data lakehouse architecture, and data partitioning and indexing strategies. - Experience working with cloud data platforms including AWS/Azure data services, distributed storage systems, and data lake architecture. - Experience implementing data quality monitoring, data lineage tracking, metadata management, and data governance frameworks. Qualifications Required:

• Experience with lakehouse architecture. - Experience with data orchestration tools. - Experience with streaming data platforms. - Knowledge of data security and access control. The following qualifications are nice to have:

• Experience with machine learning data pipelines. - Experience with real-time analytics. - Experience with large-scale enterprise data platforms. Role Overview: You will be responsible for utilizing your skills and technical expertise in data engineering platforms, data visualization and analytics, data processing and programming, data ingestion and integration, data architecture and modeling, cloud and data platform knowledge, as well as data governance and quality to contribute to the success of the team. Key Responsibilities: