About The Role
We are looking for a
highly skilled Data Engineer with a strong foundation in
Power BI, SQL, Python, and
Big Data ecosystems to help design, build, and optimize end-to-end data solutions. The ideal candidate is 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 using best practices.
- Define relationships, hierarchies, and measures to support effective storytelling.
- Ensure dashboards meet standards in accuracy, visualization principles, and timelines.
- 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.
Required Skills & Experience
- 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 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 environme
- Exposure to Big Data technologies such as:
- PySpark (must have)
- Hadoop
- Hive / HDFS
- Spark Streaming (optional but preferred)
Why Join Us
- Work with a team that's passionate about data innovation.
- Exposure to modern data stack and tools.
- Flat structure and collaborative culture.
- Opportunity to influence data strategy and architecture decisions.
Skills: data modeling,dax studio,hadoop,tabular editor,hive,data transformation,data storytelling,sql,big data,power query,spark streaming,dax,python,pyspark,power bi,etl
