Data Engineer

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 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.