Overview

Location: Hybrid (Pune, India - Up to 3 Days Per Week Onsite)

Employment Type: ContractExperience Level: Intermediate (5+ Years)

Join a High-Impact Data Engineering Team

Are you a hands-on Data Engineer who enjoys building scalable data solutions and working with modern cloud technologies? Trissential is seeking a talented Data Engineer to join our client's team and help drive enterprise-scale data initiatives. This is an exciting opportunity to work with Azure Databricks, Spark, Python, and Azure analytics services while designing and optimizing data pipelines that support critical business operations.

If you're passionate about processing large-scale datasets, solving complex data challenges, and delivering reliable data platforms, this role offers the chance to make a meaningful impact in a collaborative workplace.

What's In It for You?

• Work on enterprise-scale data engineering projects utilizing modern Azure technologies

• Build and optimize high-performance data processing pipelines handling TB-scale datasets





• Collaborate closely with business and technical teams to solve complex data challenges

• Gain exposure to advanced Azure analytics and cloud-based data ecosystems

• Contribute to data architecture decisions and best practices

• Work within a collaborative, innovation-focused culture that encourages continuous learning

• Enjoy a flexible hybrid work model that balances collaboration and autonomy

• Expand your expertise with cutting-edge data engineering tools and technologies

Your Role & Responsibilities

• Develop, deploy, and maintain scalable data processing pipelines using Azure Databricks and Apache Spark

• Write efficient, optimized Python (PySpark) and SQL code to support large-scale data processing requirements

• Design, implement, and maintain modern data lake architectures and ETL frameworks

• Optimize performance and scalability for TB-scale data workloads

• Ensure data quality, integrity, and reliability through

📌 Data Engineer (Pune)
🏢 Expleo
📍 Pune