Junior Data Analytics Engineer

We are seeking a motivated and analytical Junior Data / Analytics Engineer to join our growing data team based in Hyderabad. This full-time, entry-level role offers an excellent opportunity to contribute to the development, maintenance, and optimization of a modern data platform. The successful candidate will work hands-on with Microsoft Fabric, Databricks, and Power BI to transform raw data into actionable business insights that support strategic decision-making.

Key Responsibilities
- Data Integration: Assist in building and maintaining data pipelines using Microsoft Fabric (Data Factory/Dataflow Gen2) and Databricks, ensuring efficient ingestion of data from diverse sources into the Lakehouse environment.
- Data Transformation: Write clean, efficient SQL and PySpark code within Databricks and Fabric Notebooks to cleanse, model, and prepare data for reporting and analysis.
- Business Intelligence: Design, develop, and sustain interactive, high-performance dashboards and reports using Power BI to deliver meaningful insights to business stakeholders.
- Data Governance & Optimization: Support structuring data within Fabric OneLake and Delta Lake, optimizing data models to improve Power BI performance while maintaining data accuracy and integrity.
- Collaboration: Partner closely with senior engineers and business analysts to understand data requirements and deliver scalable, reliable data solutions.

Required Qualifications
- 0 to 5 years of relevant experience in data-related roles.
- Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related discipline; or equivalent completion of a data-focused bootcamp.
- Strong proficiency in SQL, including complex queries, joins, window functions, and aggregations.
- Basic knowledge of Python and PySpark for data manipulation, with familiarity in libraries such as pandas and numpy, and a conceptual understanding of Apache Spark/Databricks.
- Experience with Power BI through academic projects, internships, or personal initiatives, including report creation, DAX expressions, and data modeling.
- Understanding of fundamental data warehousing concepts such as star schemas, fact and dimension tables, and data lakes.
- A strong desire to learn and master modern enterprise platforms like Microsoft Fabric and Databricks.

Preferred Qualifications and Benefits
- Experience working with Microsoft Fabric components, including OneLake and Direct Lake mode.
- Relevant certifications such as Microsoft DP-600 (Fabric Analytics Engineer Associate), Microsoft PL-300 (Power BI Data Analyst), or Databricks Certified Associate Developer for Apache Spark.
- Familiarity with Git version control systems.

This position is ideal for candidates passionate about data engineering and analytics who are eager to develop their skills using cutting-edge cloud and data technologies. Join our team to contribute to impactful data solutions and advance your career in a dynamic and supportive environment.