Databricks data engineer

Company Description

z Ranga is a specialized staffing and talent solutions provider helping enterprises scale quickly with high-quality technology and business professionals. With a team backed by 50+ years of combined industry experience, we connect companies with top-tier talent across CRM, data, cloud, software development, product management, and digital transformation roles.

We deliver fast, reliable, and cost-effective staffing services—from individual experts to full project teams—tailored to each client’s unique needs. Our customer-centric approach has enabled us to support Fortune 100 organizations as well as growing SMEs across multiple industries.

At z Ranga, we take pride in providing personalized staffing solutions that drive growth, increase operational efficiency, and set our clients up for long-term success.

Role Description

This full-time on-site role, located in Hyderabad, India, is for a Databricks Data Engineer. The primary responsibilities include building and maintaining efficient and scalable data pipelines, implementing Extract Transform Load (ETL) processes, designing and optimizing data models, and managing datasets within a data warehouse. Additionally, the role involves leveraging data analytics to provide actionable insights for informed business decisions while collaborating closely with cross-functional teams to meet strategic goals.

Key responsibilities

• Data pipeline development : Design, build, and maintain scalable ETL / ELT pipelines for both batch and streaming data.
• Data architecture and modeling : Design and implement data solutions like data lakes, lakehouses, and data warehouses using Databricks Delta Lake and other components.
• Performance optimization : Optimize Databricks clusters, Spark jobs, and data processing workflows to ensure efficiency and performance.
• Data quality and governance : Ensure data integrity, quality, and security through robust data governance, cleaning, and compliance measures.
• Collaboration : Work with data scientists, analysts, and business stakeholders to understand requirements and deliver high-quality data solutions.
• Integration : Integrate data from various sources, such as APIs, SQL databases, and streaming platforms, into the Databricks environment.
• Programming : Write and optimize code in languages like Python or Scala and SQL for data transformation and automation.

Required skills