Data Engineering Specialist

Job Title: Data Engineering Specialist

We are seeking a highly skilled Data Engineering Specialist to join our team and design develop a data lakehouse solution using Apache Iceberg and Apache Spark.

The ideal candidate will have a strong background in data engineering including domain exposure to Treasury or finance with deep expertise in Apache Spark Iceberg ETL frameworks and distributed computing principles.

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• Design and develop a scalable data architecture for high-performance analytics integrating financial datasets and reporting engines.\
• Collaborate with Treasury SMEs and other engineers to translate functional goals into technical execution.\
• Develop secure and scalable infrastructure using AWS services.\
• Implement Docker-based environments and containerized workflows for smooth deployment and team collaboration.\
• Ensure seamless integration of data systems and applications.\
• Maintain and improve data quality through data governance and data lineage.\
• Prioritize projects and tasks to meet business objectives.\
• Stay up-to-date with industry trends and emerging technologies.\
• Work collaboratively with cross-functional teams to achieve project goals.\
• Communicate complex technical information effectively to non-technical stakeholders.\
• Participate in code reviews and provide constructive feedback.\
• Identify opportunities for process improvement and implement changes.\
• Contribute to the development of technical documentation and knowledge base.\
• Take ownership of projects and deliver results on time.\
• Mentor junior engineers and help them grow professionally.\
• Engage in continuous learning and professional development.\
• Seek feedback from peers and managers to improve performance.\
• Respect and maintain confidentiality of sensitive information.\
• Foster a culture of innovation experimentation and calculated risk-taking.\
• Comply with company policies and procedures.\
• Report any security vulnerabilities or compliance issues.\
• Promote a positive work environment and respect colleagues' opinions.\
• Take breaks and practice self-care to maintain productivity and focus.\
• Manage competing priorities and deadlines effectively.\
• Meet deadlines and deliver results under pressure.\
• Document and track progress and outcomes.\
• Monitor and analyze data to inform business decisions.\
• Provide regular updates to stakeholders on project status and progress.\
• Cultivate relationships with vendors and partners.\
• Conduct research and stay current with industry trends and best practices.\
• Investigate and resolve technical issues efficiently.\
• Demonstrate adaptability flexibility and resilience in a fast-paced environment.\
• Improve processes and procedures to increase efficiency and productivity.\
• Prioritize tasks based on business needs and goals.\
• Follow established protocols and guidelines.\
• Identify areas for cost savings and propose improvements.\
• Recommend technology solutions to meet business needs.\
• Provide input on architectural designs.\
• Benchmark against competitors and industry standards.\
• Develop business cases for new initiatives.\
• Partner with leadership to drive strategic planning and decision-making.\
• Drive innovation through experimentation and prototyping.\
• Lead by example and demonstrate a growth mindset.\
• Develop and maintain a comprehensive understanding of the organization's technology landscape.\
• Strengthen existing relationships with key stakeholders.\
• Engage in activities that promote diversity equity and inclusion.\
• Avoid micro-managing and empower team members to take ownership.\
• Hold regular meetings with team members to discuss progress and address concerns.\
• Maintain accurate records and reports.\
• Evaluate and implement new tools and technologies.\
• Establish and enforce standards and best practices.\
• Schedule meetings and appointments as needed.\
• Host workshops and training sessions to share knowledge.\
• Enhance the overall user experience.\
• Eliminate unnecessary complexity.\
• Reduce administrative burdens.\
• Reduce wait times.\
• Streamline processes.\
• Adhere to security protocols and best practices.\
• Protect sensitive data and systems.\
• Anticipate and mitigate potential risks.\
• Make informed decisions based on data analysis.\
• Communicate effectively across departments.\
• Build trust through transparency honesty and reliability.\
• Foster open communication channels.\
• Address conflicts promptly and fairly.\
• Uphold organizational values and mission.\
• Exemplify integrity ethics and professionalism.\
• Operate with a customer-centric mindset.\
• Continuously evaluate and improve processes.\
• Use agile methodologies to prioritize features and create a product roadmap.\
• Prioritize tasks to maximize impact and minimize distractions.\
• Eliminate redundant tasks and streamline workflow.\
• Encourage creativity and out-of-the-box thinking.\
• Emphasize the importance of teamwork and collaboration.\
• Model the behavior you expect from others.\
• Be proactive and anticipate challenges.\
• Prepare contingency plans.\
• Analyze data to inform decision-making.\
• Apply statistical models to solve problems.\
• Optimize data pipelines.\
• Maintain data consistency and accuracy.\
• Assess and manage technical debt.\
• Schedule and conduct performance reviews.\
• Recognize and reward outstanding performance.\
• Address performance gaps promptly.\
• Offer constructive feedback and coaching.\
• Empower employees to make autonomous decisions.\
• Invest in employee development and growth.\
• Promote a culture of lifelong learning.\
• Facilitate opportunities for skill-building and knowledge-sharing.\
• Advance employee careers through mentorship and training.\
• Support diversity equity and inclusion initiatives.\
• Champion employee well-being and mental health.\
• Organize team-building activities.\
• Review and revise job descriptions.\
• Develop clear expectations and accountability metrics.\
• Foster an inclusive workplace culture.\
• Establish a recognition program.\
• Train managers to manage effectively.\
• Leverage data to make informed hiring decisions.\
• Pursue innovative recruitment strategies.\
• Cultivate employer branding.\
• Expand talent pipeline sources.\
• Implement effective performance management.\
• Offer competitive compensation and benefits packages.\
• Structure career development programs.\
• Grow employee engagement through feedback and recognition.\
• Reinforce employee value proposition.\
• Identify succession planning candidates.\
• Interview and onboard new hires.\
• Coach managers to ensure a positive employee experience.\

This is a challenging role for a detail-oriented individual who can bring their technical skills and passion for data engineering to a dynamic team.