Shape the future of data engineering in a dynamic financial environment. Collaborate with experts and leverage cutting-edge technologies to innovate. Drive impactful solutions and advance your professional growth.
Data Engineer
in Information Technology PermanentJob Detail
Job Description
Overview
- Drive innovation in data engineering within a leading financial services firm.
- Collaborate with multidisciplinary teams to develop high-performance, scalable data platforms.
- Utilize cutting-edge technologies to solve complex data challenges and optimize workflows.
- Enhance your expertise in database technologies, automation, and infrastructure optimization.
- Contribute to mission-critical systems supporting diverse investment strategies.
- Engage in a dynamic environment with opportunities for professional growth and leadership exposure.
- Be part of a collaborative team focused on innovation and excellence.
- Impact the financial sector by driving data-driven decision-making processes.
Key Responsibilities & Duties
- Design, implement, and maintain enterprise-grade database systems ensuring reliability and scalability.
- Develop and optimize automation scripts using SQL, PowerShell, and Python.
- Collaborate on database design, modeling, and schema versioning for optimal performance.
- Implement CI/CD pipelines using industry-standard tools to streamline deployments.
- Monitor and enhance system performance using advanced monitoring tools.
- Troubleshoot and resolve database issues to ensure operational continuity.
- Stay informed on emerging technologies and integrate them into existing systems.
- Collaborate with stakeholders to align data solutions with business objectives.
Job Requirements
- Bachelor of Science (BS) degree in a relevant field.
- Minimum of 3 years of experience in data engineering, preferably in finance.
- Proficiency in Microsoft SQL Server and scripting languages like SQL, PowerShell, and Python.
- Experience with Infrastructure as Code (IaC) and CI/CD pipeline tools.
- Knowledge of database performance tuning and optimization techniques.
- Familiarity with monitoring tools and distributed data platforms.
- Strong communication skills for effective collaboration and documentation.
- Preferred skills include exposure to Apache Iceberg, PostgreSQL, and Kubernetes.
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