Data Engineer

Venxr; Maharashtra; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Venxr is seeking a skilled Data Engineer with a strong foundation in Power BI, SQL, Python, and Big Data to design, build, and optimize end-to-end data solutions.

You will transform raw data into actionable insights, enabling data-driven decision-making across the organization and collaborating with cross-functional teams to translate complex business problems into scalable data-centric solutions.

Qualifications

• 3+ years of experience as a Data Engineer or 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 with high-volume data in production environments.
• Exposure to Big Data technologies such as PySpark, Hadoop, Hive/HDFS; Spark Streaming is a plus.

Responsibilities

• Data Modelling & Visualization: Build scalable data models in Power BI and define relationships, hierarchies, and measures.
• Data Transformation & ETL: Perform advanced transformations using Power Query and design ETL pipelines with SQL, Python, and Big Data tools.
• Business Problem Translation: Collaborate with cross-functional teams to translate business problems into data-centric solutions.
• Performance & Troubleshooting: Optimize dashboards and pipelines for latency, reliability, and scalability, and resolve data access issues.
• Analytical Storytelling: Design insightful dashboards and develop data narratives that drive business impact.
• Solution Design: Deliver wireframes, POCs, and final solutions aligned with business requirements.

Skills

Power BI

SQL

Python

Data modeling

Data visualization

DAX

Power Query (M Language)

Big Data concepts

Tools

DAX Studio

Tabular Editor

PySpark

Hadoop

Hive / HDFS

Spark Streaming

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.
• 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.