Data Architect
hace 1 semana
We are seeking a highly skilled and experienced professional to join our team as a Data Engineer at Praxis. As a key member of our organization, you will play a critical role in designing, developing, and implementing data-driven solutions to drive business growth and improvement.
Key Responsibilities- Collaboration & Communication: Work closely with cross-functional teams to translate business requirements into technical specifications, ensuring seamless communication and collaboration.
- Data Structure & Architecture: Design and implement data structures and architectures that meet business needs, ensuring data quality, security, and scalability.
- Technical Execution: Develop and deploy high-quality software solutions, adhering to industry best practices and internal standards.
- Team & Organizational Support: Provide guidance and support to teams, promoting best practices and values that align with client needs.
- User Interaction: Engage with end-users to gather and understand business requirements, conducting gap analysis and translating needs for developers.
- Project Management: Manage multiple projects and requests concurrently, ensuring adherence to requirements and deadlines.
- Incident Resolution: Analyze and resolve incidents in the Market Risk Business Area, ensuring minimal disruption to business operations.
- Experience: 5+ years in banking technology projects, with a strong understanding of financial products and markets.
- Agile Methodologies: Proven experience in Scrum, Kanban, and proficiency with tools such as Jira and Confluence.
- Financial Products: Strong knowledge of Equities, Interest Rates, Forex, and Credit, with the ability to design and implement data-driven solutions.
- SQL Expertise: Ability to execute complex SQL queries, ensuring data quality and integrity.
- Data Modeling: Experience designing efficient data models, with a strong understanding of data architecture and design principles.
- Banking Tools: Familiarity with production tools in banking, such as Service-Now and ControlM.
- Big Data Expertise: Knowledge of Big Data tools like Scala, Spark, Hive, Impala, and Shell scripting.
- Cloud & Big Data Architecture: Technical knowledge in cloud solutions and Big Data architecture, with the ability to design and implement scalable data solutions.
- Strong communication and teamwork abilities, with the ability to work effectively in a fast-paced environment.
- Adaptability and high proactivity, with a strong focus on delivering results and meeting deadlines.
- Results-oriented with strong analytical and problem-solving skills, with the ability to think critically and creatively.
- English: High proficiency required, with the ability to communicate effectively in a global business environment.
Full-time
PayFrom $75,000.00 per month
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