Data Engineer
2 weeks ago
We are in search of a Data Engineer who will play a critical role in advancing our enterprise-level platforms, ensuring they are robust, scalable, and optimized for data-driven decision-making. This role is ideal for someone who thrives in a dynamic environment and is passionate about technology's role in transforming the financial services industry. You'll be a key player in our mission to deliver efficient, data-centric solutions that drive business success.
Key Responsibilities:
- Develop, deploy, and maintain enterprise-grade data platforms, ensuring they meet the highest standards of scalability and availability.
- Automate infrastructure to streamline operations and support data-driven solutions.
- Continuously monitor system and application performance to ensure consistent uptime and optimal efficiency.
- Research, evaluate, and implement new tools and technologies to enhance our data infrastructure.
- Design and analyze technical solutions to meet evolving business needs.
- Participate in troubleshooting, identifying, and resolving technical issues related to data systems and applications.
- Contribute to the development, testing, and modification of software to enhance the efficiency and reliability of data platforms.
- Provide technical support and expertise for various IT projects.
- Prepare and maintain detailed documentation for all aspects of the data engineering process.
- Engage in agile ceremonies, including planning sessions, daily standups, backlog grooming, retrospectives, and team demos.
- Collaborate with the project manager/scrum master to identify and remove impediments.
- Rotate through support roles to maintain production environments.
- Coordinate with data operations teams to deploy updates and changes to production systems.
- Offer technical guidance and leadership within the team as needed.
Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, with relevant experience in ADO/GIT, ETL, SQL, UNIX/Linux, Docker/Kubernetes, API Development, JSON, Kafka, Automated Testing, BDD, Big Data systems, and programming languages such as Java and Python.
- A combination of education and experience may be considered in lieu of a degree.
- Proficiency in building real-time data pipelines, search technologies, and various programming languages like Java and Python.
- Strong understanding of ETL processes, UNIX/Linux environments, and orchestration tools.
- Excellent analytical, organizational, and problem-solving skills.
- Quick learner with the ability to adapt to new technologies.
- Strong skills in eliciting, gathering, and analyzing user requirements.
- Ability to work independently and effectively collaborate with colleagues across different levels of technical expertise.
- Strong project management abilities with good judgment.
- Effective communication skills, both verbal and written, with technical and non-technical staff.
- Ability to manage multiple projects simultaneously and prioritize tasks efficiently.
- Capable of interpreting business requirements and mapping them to appropriate technical solutions.
Join us to be part of a team that values diversity, innovation, and a commitment to continuous improvement in a technology-driven world.
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