Junior Data Analytics Engineer

We are looking for a motivated and analytical Junior Data / Analytics Engineer to join our expanding data team in Hyderabad. This full-time, entry-level position offers an excellent opportunity to contribute to building, maintaining, and optimizing a modern data platform. You will work hands-on with Microsoft Fabric, Databricks, and Power BI to transform raw data into actionable business insights that drive decision-making across the organization.

Key Responsibilities

- Data Integration: Support the development and maintenance of data pipelines using Microsoft Fabric (Data Factory/Dataflow Gen2) and Databricks. This involves ingesting data from multiple sources into our Lakehouse environment.

- Data Transformation: Write clean, efficient SQL and PySpark code within Databricks and Fabric Notebooks to clean, model, and prepare data for reporting purposes.

- Business Intelligence: Design, develop, and maintain interactive, high-performance dashboards and reports using Power BI to provide meaningful insights to business stakeholders.

- Data Governance & Optimization: Assist in structuring data within Fabric OneLake / Delta Lake and ensure that data models are optimized for Power BI performance and scalability.

- Collaboration: Work closely with senior engineers and business analysts to understand data requirements and deliver reliable, high-quality data products that meet business needs.

Required Qualifications

- 0 to 5 years of relevant experience in data engineering, analytics, or related roles.

- Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field. Equivalent completion of a recognized data bootcamp is also acceptable.

- Strong foundation in SQL, including the ability to write complex queries involving joins, window functions, and aggregations.

- Basic knowledge of Python and PySpark for data manipulation, with familiarity in libraries such as pandas and numpy. Conceptual understanding of Apache Spark and Databricks is essential.

- Experience with Power BI through academic projects, internships, or personal work, including report building, writing DAX expressions, and data modeling.

- Understanding of fundamental cloud and data warehousing concepts such as star schemas, fact and dimension tables, and data lakes.

- A strong eagerness to learn and grow expertise in modern enterprise platforms like Microsoft Fabric and Databricks.

Preferred Qualifications

- Hands-on experience or familiarity with Microsoft Fabric concepts, including OneLake and Direct Lake mode.

- Relevant industry certifications such as:
- Microsoft DP-600 (Fabric Analytics Engineer Associate)
- Microsoft PL-300 (Power BI Data Analyst)
- Databricks Certified Associate Developer for Apache Spark

- Experience with Git version control systems is a plus.

This role offers a unique chance to develop your skills in cutting-edge data technologies within a collaborative and growth-oriented environment. If you are passionate about data and eager to contribute to impactful projects, we encourage you to apply.