Senior / Expert AWS AI Engineer

Навыки

• Airflow
• AWS
• Big Data
• CI/CD
• Коммуникация
• ETL / ELT
• Hadoop

О компании и продукте

• FIØ and FIB internship programs
• At Nordea, we’re committed to being a partner our customers and society can count on. Compliance and integrity go hand in hand. Joining us means you’ll have an impact on how we do banking – today and tomorrow. So, bring your ideas, skills and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger.
• Financial Crime Prevention Technology (FCPT) adds value by providing a strong technology team with the right capabilities for the Group Financial Crime Prevention business teams.

Задачи

• Cloud Infrastructure & Orchestration: Design, implement, and manage scalable and secure AWS-based infrastructure for AI/ML workloads, utilizing services like AWS Step Functions, EventBridge, AWS
• Managed Workflows for Apache Airflow (MWAA), and AWS Lambda for workflow orchestration
• Data Processing & ETL: Develop, optimize, and maintain robust big data ETL and analytics pipelines using PySpark with Python and/or Spark with Scala on AWS Glue, Amazon EMR, and Amazon EKS
• Data Storage & Management: Implement efficient data storage solutions primarily on Amazon S3, ensuring data accessibility, security, and integrity for AI/ML applications
• Data Querying & Analysis: Utilize AWS Athena for ad-hoc querying and analysis of large datasets stored in S3, supporting data exploration and model development
• Hadoop Ecosystem Integration: Leverage expertise in the Hadoop ecosystem (Hive, Impala, Sqoop, HDFS, Oozie) for managing and processing large-scale datasets
• Programming & Data Transformation: Apply strong Python programming skills, including extensive experience with Pandas DataFrame transformations, for data manipulation and analysis
• Deployment & MLOps: Implement and maintain Continuous Integration (CI) and Continuous Delivery (CD) pipelines using Jenkins, and manage infrastructure as code (IaC) with Terraform for automated deployment of AI/ML solutions
• Collaboration: Work closely with data scientists, product managers, and business stakeholders to translate requirements into scalable technical solutions
• Code Quality: Write clean, well-documented, and testable code, adhering to best practices in software development, MLOps, and cloud engineering
• Mentorship (Senior/Expert): Mentor junior engineers, share knowledge, and contribute to the overall growth and technical excellence of the team
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• Language
• English (United Kingdom)
• English (United States)
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Требования

• Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best- and that we imagine you share with us
• To succeed in this role, you should have
• Education: Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
• Experience
• Senior: 5+ years of professional experience in data engineering, cloud infrastructure, or AI/ML engineering, with a strong focus on AWS
• Expert: 8+ years of professional experience, including leading complex data/AI infrastructure projects and significant contributions to production systems on AWS
• AWS Expertise (Must Have)
• Orchestration Services: Hands-on experience with AWS Step Functions, EventBridge, AWS Managed Workflows for Apache Airflow (MWAA), and AWS Lambda
• Processing Services: Proven experience with AWS Glue, Amazon EMR, and Amazon EKS
• Storage Service: Expert knowledge of Amazon S3
• Querying & Analysis: Experience with AWS Athena
• Big Data & ETL
• Extensive experience with big data ETL and analytics development using PySpark with Python and/or Spark with Scala
• Working experience with the Hadoop ecosystem including Hive, Impala, Sqoop, HDFS and Oozie
• Programming
• Expert proficiency in Python, including extensive experience with Pandas DataFrame transformations
• Proficiency in Scala for Spark development (highly preferred)
• CI/CD & IaC
• Strong knowledge of Continuous Integration (CI) and Continuous Delivery (CD) Pipelines using Jenkins
• Experience with Infrastructure as Code (IaC) using Terraform
• Problem-Solving: Excellent analytical and problem-solving skills, with the ability to design and implement robust, scalable data and AI solutions
• Communication: Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences
• Preferred Skills & Qualifications
• Experience with MLflow for ML lifecycle management
• Hands-on experience with AWS SageMaker and / or AWS Bedrock for model training and deployment

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