3 years

10 - 12 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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 environments.

Preferred (Good To Have)

  • Exposure to Big Data technologies such as:
    • PySpark
    • 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,big data,pyspark,power bi,data storytelling,spark streaming,etl,sql,tabular editor,hive,power query,hadoop,python,data transformation,dax studio,dax

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