Data Engineering Intern assisting with data projects and cloud solutions at Simmons Bank. Collaborating on data pipelines and gaining exposure to modern data engineering concepts.
About the role
- Big Data Engineer handling both internal and external stakeholders for data processing related to fraud and compliance at ING. Managing and transforming high volume data and working closely with project teams.
Responsibilities
- Dealing with both internal and external stakeholders
- Managing, transforming and cleansing high volume data, helping our customers solve business problems in the area of fraud, compliance and financial crime
- Having regular team sprints and Scrum meetings with your Projects team
- Working closely with Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our customer expectations and delivering a first-class service
Requirements
- Proven big data experience, either from an implementation or a data science prospective
- Knowledge of big data technologies (Spark, Hadoop, Elasticsearch)
- Knowledge of functional programming
- Knowledge of relational and non-relational databases
- Experience in working in an Agile environment
- Good understanding of customer needs and ability to translate them into highly-effective technical solutions
- Knowledge how to determine work breakdown and tasking, resolve technical issues, understand technical architectures
- Coding background in Scala is a plus
- Automation and optimisation mindset
- Good Communication and Presentations skills
- Facilitation and problem-solving skills
- Proactive attitude, always on the look-out for improving your and our way of working
- Experience of building data processing pipelines for use in production “hands off” batch systems, including either traditional ETL pipelines and/or analytics pipelines
Job title
Job type
Experience level
Salary
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer building and scaling client - facing Microsoft Fabric analytics platform to drive revenue and decision - making. Collaborating with teams to develop pipelines, optimize performance, and ensure client satisfaction.
Data Engineer role focusing on migrating legacy systems to ADA at BBVA. Collaborate with multidisciplinary teams and ensure system integrity during transitions.
Senior Data Engineer focused on modernizing enterprise data capabilities at U.S. Bank. Designing and building reusable data engineering patterns for consistent delivery across teams.
Senior Data Engineer at SS&C building and optimizing data pipelines in a lakehouse environment. Collaborating with data architects and stakeholders in the financial services sector.
Principal Data Pipeline Lead at SS&C overseeing development of scalable data pipelines. Leading a small team and providing technical guidance for modern data platform integration.
Experienced Data Architect designing and implementing scalable data architecture for a financial services and healthcare technology company. Collaborating across teams to support analytics and operational needs.
Data Architect designing scalable, secure data architectures for fraud detection and risk management at Fiserv. Collaborating with cross - functional teams and managing large datasets and pipelines.
Director of Engineering overseeing development of AI - driven data platforms at LVT. Leading teams to transform sensor data into actionable insights using modern architecture and technologies.
Senior Data Engineer at Independence Pet Holdings shaping data ecosystem by building platforms and pipelines. Collaborating with teams to enhance data analytics and operational insights.