Data Engineer, SQL, Databricks

Job Description:

- Design, build, and maintain data pipelines connecting internal systems to the organisation’s Delta Lake environment- Develop and optimise SQL-based data transformations and relational data models to support analytics and reporting- Integrate new data sources and systems into the data platform as the organisation expands its technology landscape- Work with engineering teams to ensure reliable, scalable, and well-structured data flows across systems- Support the development of data architecture and data models that enable new business metrics and analytical capabilities- Monitor, troubleshoot, and improve existing pipelines to ensure data accuracy, performance, and reliability- Contribute to documentation, data standards, and best practices across the engineering team- Collaborate with stakeholders to ensure data pipelines support evolving business requirements

Requirements:

- Strong experience working with SQL for querying, transformation, and data modelling- Hands-on experience with Databricks for building and managing data pipelines and analytics workflows- Experience working with large-scale data platforms or data lake architectures- Familiarity with Apache Spark for distributed data processing- Experience designing and maintaining data pipelines and ETL/ELT processes- Ability to work collaboratively within cross-functional engineering teams- Strong attention to detail when building reliable and maintainable data infrastructure

Benefits:

- Fixed Shifts: 12:00 PM - 9:30 PM IST (Summer) | 1:00 PM - 10:30 PM IST (Winter)- No Weekend Work: Real work-life balance, not just words- Day 1 Benefits: Laptop and full medical insurance provided- Support That Matters:Mentorship, community, and forums where ideas are shared- True Belonging: A long-term career where your contributions are valued