Senior Data Engineer

Job Description :

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.

Key Responsibilities

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.
What’s on offer

Competitive salary and benefits package.
Opportunities for professional growth and development.
A collaborative and inclusive work environment.
The chance to work on impactful projects with a talented team.
Candidate Profile

Experience:

8+ 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 (e.g., Python, Scala, R programing).
Familiarity workload automation and job scheduling tool such as Control M.
Familiar with data governance frameworks and security protocols.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Education

Bachelor’s degree in computer science, IT, or a related discipline.