Data Engineer
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Job Location:
Monthly Salary:
Posted on:
17 hours ago
Vacancies:
1 Vacancy
Department:
Job Summary
We are seeking Data Engineer with strong expertise in Azure Databricks. This role will focus on building supporting and administering scalable high-performance data pipelines that power real-time and batch analytics for trading risk and operational use cases. The ideal candidate will have a deep background in data bricks data engineering administration capital markets data and thrive in an Agile fast-paced environment.
Key Responsibilities:
- Design develop and maintain robust data pipelines using Azure Databricks Confluent DLT Spark pipleline and Delta Lake to support trading and market data workflows.
- Self-study the existing pipeline and enhance existing data pipelines ensuring continuity scalability and performance improvements.
- Production pipeline support services including job monitoring incident resolution and performance tuning in production environments.
- Administer Databricks workspaces unity catalog including cluster configuration job scheduling access control and workspace optimization.
- Build and maintain CI/CD pipelines using GitLab enabling automated testing deployment and versioning of data engineering code.
- Follow and enforce best practices in code management including modular design code reviews and documentation using GitLab workflows.
- Collaborate with fellow team members business analysts and data architect to understand data requirements and deliver high-quality solutions.
- Build reusable components and frameworks to accelerate development and ensure consistency across data platforms.
- Actively participate in Agile ceremonies (e.g. sprint planning stand-ups retrospectives) and contribute to continuous improvement of team processes.
Qualifications :
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 5 years of experience in data engineering with at least 2 years working with Azure Databricks.
- Strong proficiency in PySpark SQL and Python.
- Experience supporting production pipelines including monitoring alerting and troubleshooting.
- Experience with GitLab CI/CD including pipeline configuration runners and integration with cloud services.
- Familiarity with financial capital markets domain such as market data feeds order books trade execution and risk metrics.
- Proven ability to work effectively in Agile development environments.
- Azure certifications (e.g. Azure Data Engineer Associate).
- Experience with real-time data processing using Kafka or Event Hubs.
Additional Information :
What you will love about Exinity:
Freedom to succeed is our core belief. Its not just a promise we make to our clients and partners but to our people too. We want our people to LEAP and so in this role you will
Learn (e.g. from each other/from new projects).
Exchange (e.g. information and best practices in an open-minded environment).
Advance (e.g. by developing skills and accepting greater responsibilities/ your career progression and diversification).
Prosper (e.g. by acquiring skills/ by nurturing a team of x people).
Exinity is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender sexual orientation marital or civil partner status gender reassignment race colour nationality ethnic or national origin religion or belief disability or age.
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
We believe the power of risk-driven investing can help anyone achieve a better life. And we’re here to make this potential a reality for an emerging global generation. We provide individuals in the world’s fast-developing economies with guidance, tools, and easy market access so they ... View more
