Data Engineer I, IT PnD Data and Analytics
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Job Summary
IT PnD Data and Analytics team is looking for a Data Engineer to join the team to design manage and continuously enhance our data and analytics infrastructure with process automation/improvements developing automated reporting solutions/tools and improving the ability of the IT Services organization to process analyse access and consume accurate and timely data.
As a Data Engineer you will be working in one of the largest cloud-based data lakes. You should have experience in the design creation management and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions and build data sets that answer those questions. You should be able to architect highly efficient data and reporting structures making a trade-off between scalability performance and user functionality needs using expert knowledge in software development technologies. You should be able to lead design reviews and offer feedback on design integration performance and scalability issues. Serve as an authority in the area of technical and domain expertise and mentor develop and train data engineers.
Key job responsibilities
In this role you will work with a team in building a Federated data ecosystem near real time data ingestion calculation engines and reporting solutions for IT Services organization. The role requires someone who loves data understands enterprise information systems has a strong business sense and can collaborate with multiple teams to put these skills into action. The ideal candidate thrives in a fast-paced environment relishes working with ambiguity big data and enjoys the challenges of highly complex business context. This role requires an individual with a strong data modelling background deep knowledge of cloud infrastructure optimizing data for business intelligence solutions and the ability to quickly learn adapt and work with a variety of technologies.
A day in the life
A day in the life of a data engineer at ITS PnD involves building and optimizing large-scale data pipelines using tools like AWS Lambda Glue and Redshift. The day typically starts with a team stand-up to align on priorities followed by deep work on developing and refining data ingestion transformation and automation processes. Collaboration with data scientists analysts and stakeholders is key ensuring the pipelines deliver the data needed for critical business insights. The day ends with monitoring code reviews and documenting progress all while keeping scalability efficiency and Amazons high standards for data quality in mind.
- 2 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with one or more query language (e.g. SQL PL/SQL DDL MDX HiveQL SparkSQL Scala)
- Experience with one or more scripting language (e.g. Python KornShell)
- Experience with big data technologies such as: Hadoop Hive Spark EMR
- Experience with any ETL tool like Informatica ODI SSIS BODI Datastage etc.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary range for this position is listed below. As a total compensation company Amazons package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon offers comprehensive benefits including health insurance (medical dental vision prescription basic life & AD&D insurance) Registered Retirement Savings Plan (RRSP) Deferred Profit Sharing Plan (DPSP) paid time off and other resources to improve health and well-being. We thank all applicants for their interest however only those interviewed will be advised as to hiring status.
CAN BC Vancouver - 80700.00 - 134800.00 CAD annually
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
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