Data Engineer

About the job

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

Requirements

• Databricks
• PySpark
• SQL

Qualifications

• BE
• Btech

Preferred Technologies

• Databricks
• PySpark
• SQL