Responsibilities:
- Design, develop, and optimize scalable data pipelines and architectures using Apache Spark and databases.
- Work with cloud platforms (IBM Cloud) to build robust data solutions and ensure seamless integration.
- Collaborate closely with cross-functional teams to gather and understand business requirements and translate them into efficient data models and workflows.
- Implement and maintain data structures, ensuring the integrity, availability, and scalability of the data.
- Develop and implement testing strategies for data validation, ensuring high data quality and system performance.
- Support the team in data analysis and insights to enable data-driven decision-making.
- Contribute to documentation and best practices to facilitate knowledge sharing within the global team.
- Participate in regular syncs with the worldwide team, ensuring clear communication and alignment across time zones.
- Develop elegant, flexible, maintainable, and scalable solutions to complex problems by delivering data and analytics.
- Demonstrate experience leading development efforts and coordinating work for junior developers.
- Define and consolidate development and modelling practices within a team.
- Leverage strong collaborative skills to define requirements, develop plans, and deliver iteratively to support our organization’s mission.
- Leverage strong analytical skills to understand business processes and propose effective data solutions.
- Communicate and manage relationships with business and development teams - provide guidance, mentorship, and direction, as required.
- Translate business needs into technical requirements.
- Learn new tools, technologies, and processes for continuous improvement.
- As part of a self-directed team, take ownership of activities and deliver them on-time and with quality.
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