Data Engineer (Big Data)

As a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems, your role will involve designing, building, and optimizing end-to-end data solutions. You will be passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization. Key Responsibilities: - Data Modelling & Visualization: - Build scalable and high-quality data models in Power BI following best practices. - Define relationships, hierarchies, and measures to support effective storytelling. - Ensure dashboards meet accuracy, visualization principles, and timelines standards. - Data Transformation & ETL: - Perform advanced data transformation using Power Query (M Language) beyond UI-based steps. - Design and optimize ETL pipelines using SQL, Python, and Big Data tools. - Manage and process large-scale datasets from various sources and formats. - Business Problem Translation: - Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions. - Decompose business questions into testable hypotheses and identify relevant datasets for validation. - Performance & Troubleshooting: - Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability. - Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs. - Analytical Storytelling: - Apply analytical thinking to design insightful dashboards prioritizing clarity and usability over aesthetics. - Develop data narratives that drive business impact. - Solution Design: - Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility. Qualifications Required: - Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role. - Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices. - Hands-on experience with Python and SQL for data analysis, automation, and backend data transformation. - Deep understanding of data storytelling, visual best practices, and dashboard performance tuning. - Familiarity with DAX Studio and Tabular Editor. - Experience in handling high-volume data in production environments. Preferred Skills (Good To Have): - Exposure to Big Data technologies such as PySpark, Hadoop, Hive/HDFS, and Spark Streaming. In this role, you will have the opportunity to work with a team that's passionate about data innovation, gain exposure to modern data stack and tools, work within a flat structure and collaborative culture, and influence data strategy and architecture decisions. As a highly skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data ecosystems, your role will involve designing, building, and optimizing end-to-end data solutions. You will be passionate about solving complex data problems, transforming raw data into actionable insights, and contributing to data-driven decision-making across the organization. Key Responsibilities: - Data Modelling & Visualization: - Build scalable and high-quality data models in Power BI following best practices. - Define relationships, hierarchies, and measures to support effective storytelling. - Ensure dashboards meet accuracy, visualization principles, and timelines standards. - Data Transformation & ETL: - Perform advanced data transformation using Power Query (M Language) beyond UI-based steps. - Design and optimize ETL pipelines using SQL, Python, and Big Data tools. - Manage and process large-scale datasets from various sources and formats. - Business Problem Translation: - Collaborate with cross-functional teams to translate complex business problems into scalable, data-centric solutions. - Decompose business questions into testable hypotheses and identify relevant datasets for validation. - Performance & Troubleshooting: - Continuously optimize performance of dashboards and pipelines for latency, reliability, and scalability. - Troubleshoot and resolve issues related to data access, quality, security, and latency, adhering to SLAs. - Analytical Storytelling: - Apply analytical thinking to design insightful dashboards prioritizing clarity and usability over aesthetics. - Develop data narratives that drive business impact. - Solution Design: - Deliver wireframes, POCs, and final solutions aligned with business requirements and technical feasibility. Qualifications Required: - Minimum 3+ years of experience as a Data Engineer or in a similar data-focused role. - Strong expertise in Power BI: data modeling, DAX, Power Query (M Language), and visualization best practices. - Hands-on experience with Python and SQL for data analysis, automation, and backend data transformation. - Deep understanding of data storytelling, visual best practices, and dashboard performance tuning. -