Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
About the role
- Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Responsibilities
- Design, develop, and maintain scalable data pipelines and infrastructure for ingesting, processing, and storing large volumes of data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
- Build and optimize data models and schemas for efficient storage and retrieval of data.
- Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
- Monitor and troubleshoot data pipelines to ensure data integrity, reliability, and performance.
- Evaluate and implement new technologies and tools to enhance data processing capabilities and improve efficiency.
- Document data pipelines, processes, and solutions to ensure knowledge sharing and maintainability.
- Work closely with infrastructure and DevOps teams to deploy and manage data systems in cloud environments.
- Stay current with industry trends, best practices, and emerging technologies in data engineering and analytics.
Requirements
- Bachelor’s Degree, ideally in Computer Science or Electronics or equivalent work experience in the field of Data.
- Minimum 5 years’ experience in a similar role (7+ preferred, 3-5 preferred for junior role).
- Knowledge of SQL, Python, with preferrable knowledge of Azure Data Factor.
- Excellent interpersonal, listening, negotiation, presentation skills.
- Strong verbal and written communication skills.
- Keen eye on detail.
- Ability in decision making, problem analysis and problem solving.
- Excellent organizational skills.
- Problem solving attitude.
- Ability to work in fast paced environment.
- Passionate about agile software processes, data driven development, reliability, and experimentation and experience working in a collaborative Agile product team will be considered as extra assets.
Benefits
- Competitive salary
- Hybrid work flexibility
- 37-hour work week
- Extra paid time off
- Medical & Life insurance coverage
- 24/7 Mental Health support for you and your family
- Employer-sponsored pension plan
- Exclusive perks with special rates on banking products
- Ongoing learning & career development opportunities
- Team activities & events to foster bonding, well-being, and a strong company culture
- Daycare allowance to help cover preschool costs
- Additional school monitoring days
- Savings plan for your children
Job title
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Degree requirement
Tech skills
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