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 (e.g. 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 (i.e., Terraform, CloudFormation, etc.)
- Experience of driving and/or influencing the data strategy of your team or organization
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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.------------------------------------------------------
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