We are seeking a highly skilled and motivated Data Engineer to join our dynamic team.

The ideal candidate will have extensive experience in data engineering, with a strong focus on Databricks, Python, and SQL.

As a Data Engineer you will play a crucial role in designing, developing, and maintaining our data infrastructure to support various business needs.

Essential Job Functions

- Develop and implement efficient data pipelines and ETL processes to migrate and manage client, investment, and accounting data in Databricks
- Work closely with the investment management team to understand data structures and business requirements, ensuring data accuracy and quality.
- Monitor and troubleshoot data pipelines, ensuring high availability and reliability of data systems.
- Optimize database performance by designing scalable and cost-effective solutions.

Qualifications :

- 5+ years of experience in data engineering or a similar role.
- Proficiency in Apache Spark.



Databricks Data Cloud, including schema design, data partitioning, and query optimization
- Exposure to Azure.
- Exposure to Streaming technologies. (e.g Autoloader, DLT Streaming)
- Advanced SQL, data modeling skills, and data warehousing concepts tailored to investment management data (e.g., transaction, accounting, portfolio data, reference data etc).
- Experience with ETL/ELT tools like snap logic and programming languages (Python/Scala/R programming).
- Familiarity with workload automation and job scheduling tools such as Control M.
- Familiar with data governance frameworks and security protocols.
- Excellent problem-solving skills and attention to detail.
- Solid communication and collaboration skills.
- Bachelor's degree in computer science, IT, or a related discipline.

📌 Data Engineer - Azure Databricks/Python (India)
🏢 VARITE
📍 India