Data Engineer
The role requires a Data Engineer with expertise in designing and building scalable data platforms, tools, and solutions for managing and processing large-scale data in cloud and on-premise environments. The candidate will collaborate with IT teams and stakeholders to deliver data-driven solutions, focusing on ETL, APIs, cloud architecture, and automation while adhering to security and risk policies.
Key Technical Skills (Must-Have):
- Advanced SQL
- Python & R
- Cloud Data Architecture (DBT, Azure)
- Data Modeling
- Agile/Scrum
Nice-To-Have:
- Power BI Certification
- DevOps Tools (GitHub)
Primary Responsibilities:
- Develop, design, and support data solutions, APIs, and automated processes.
- Build CI/CD pipelines and self-service tools for deployment.
- Troubleshoot data platforms and provide on-call support for critical issues.
- Collaborate with teams to integrate data strategies into technical solutions.
- Research emerging trends and ensure alignment with data security and banking standards.
Requirements:
- Bachelor’s degree in Computer Science/Information Systems or equivalent experience.
- Strong communication and distributed computing knowledge.
- Understanding of data security principles and familiarity with big data tools, APIs, and cloud platforms.
Other Details:
- Onsite, 5 days per week.
- Manage and prioritize multiple assignments while mentoring team members.