Sr. Data Engineer

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