Digital S/W Eng Intm Analyst

The Cloud Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A hands-on Cloud Engineer who is passionate about solving business problems through innovation and engineering practices. As a Cloud Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to share your technical expertise and promote a culture of technical excellence within the team. The Cloud Engineer will work with a Team Lead and will be a code-contributing member of the team that will deliver solutions against the sprint-level commitments. Code contributing member of an Agile team, working to deliver sprint goals. Demonstrating technical knowledge and expertise in software development, including programming languages, frameworks, and best practices. Actively contributes to the implementation of features and technical solutions. Write clean, efficient, and maintainable code that meets the highest standards of quality. Collaborate with other Engineers to define and evolve the overall system architecture and design. Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices. Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions. Foster a culture of technical excellence and continuous improvement. Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation. Required Qualifications: Cloud development hands-on experience with AWS is required. 4-8 years’ experience of implementing data-intensive solutions using agile methodologies. Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala. Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.) Experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks. Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation. Clear understanding of Data Structures and Object-Oriented Principles. Experience of modelling data for analytical consumers Ability to automate and streamline the build, test and deployment of data pipelines. Proven experience of providing technical vision and guidance to a data team. Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work. BA/BS degree or equivalent work experience. Preferred Qualifications: AWS Certification Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.). Experience with AWS EKS or GCP GKE Familiarity with open-source data engineering tools and frameworks ( Spark, Kafka, Beam, Flink, Trino, Airflow, DBT) is an asset. Data engineering specialty preferred. Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON Experience with Data Transformation tools like Ab Initio a plus. Appreciation of data parallelism associated partitioning strategies and an understanding of key components in the GDE is particularly relevant. Experience in cloud native technologies and patterns (AWS, Google Cloud) Exposure to Infrastructure as Code tools (, Terraform, CloudFormation, etc.)  Experience of driving and/or influencing the data strategy of your team or organization ------------------------------------------------------ Job Family Group: Technology------------------------------------------------------ Job Family: Digital Software Engineering------------------------------------------------------ Time Type: Full time------------------------------------------------------ Most Relevant Skills Please see the requirements listed above.------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------