RBHU Analytics - Data Engineer - ETL Pipeline

Overview

At RBHU, we are committed to delivering data-driven solutions that empower decision-making. We work at the intersection of Data, AI, and Analytics, helping clients unlock the value of their data. We are now looking for an enthusiastic Data Engineer with hands-on Databricks experience to join our growing team.

Key Responsibilities

• Develop, maintain, and optimize ETL/ELT pipelines using Databricks.
• Integrate data from multiple sources into scalable and reliable data solutions.
• Implement data transformations, cleansing, and enrichment processes.
• Work closely with data analysts, data scientists, and business teams to deliver analytics-ready datasets.
• Ensure data quality, performance, and security in all workflows.
• Automate workflows and optimize existing pipelines for efficiency.
• Maintain technical documentation for all data engineering processes.
  
  

• 1-2 years of professional experience as a Data Engineer.
• Strong hands-on experience with Databricks (including PySpark/Spark SQL).
• Solid understanding of data modeling, data warehousing, and ETL processes.
• Good knowledge of SQL and performance tuning techniques.
• Exposure to cloud platforms (Azure / AWS / GCP) - preferably Azure Databricks.
• Basic understanding of version control tools like Git.
• Good problem-solving skills and ability to work in collaborative teams.
  
  

• Experience with Delta Lake and Unity Catalog.
• Understanding of data governance and compliance requirements.
• Familiarity with workflow orchestration tools (Airflow, Azure Data Factory, etc.).
  
  

• Engineering Graduates (BE | Btech)
  
  

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