Data Engineer in Pune, भारत

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.