Senior Data Engineer
1 week ago
Agilus Work Solutions is recruiting for a Senior Data Engineer position in Vancouver
Agilus is recruiting for a Senior Data Engineer in the retail industry in a hybrid work environment in Langley, British Columbia. The Data Engineering team is looking for passionate people working in a fast-paced organization using Agile/Scrum methodology to deliver excellent solutions for our demanding customer service, operations requirements, and resolving the engineering challenges of building robust and scalable data systems aligned to enterprise data strategy.
Responsibilities:- Apply your expertise in data and software engineering to design and implement data products that meet extreme requirements on scalability, reliability, maintainability, flexibility, auditability, and quality.
- Be T-Shaped. Your primary area is data engineering, but you are comfortable working in a secondary area of expertise such as data presentation/visualization, backend engineering, or data modelling (SQL, NoSQL, Graph & Time-series).
- Work closely with cross-functional teams of data, backend and frontend engineers, product owners, technical product owners, and technical support personnel.
- Gaining technical expertise in building a data platform at scale to solve business, product, and technical use cases.
- Getting hands-on experience with technologies such as Elasticsearch, Apache Airflow, Apache Kafka, Apache Beam, Apache Spark, Hive, HDFS, Kubernetes (OpenShift).
- Getting hands-on experience with Google Cloud Platform and technologies such as BigQuery, Cloud Composer, Pub/Sub, Dataflow, Dataproc, GCS, Looker, and other cloud-native offerings in GCP.
- An undergraduate or Master’s degree in Computer Science or equivalent engineering experience.
- 6+ years of professional software engineering and programming experience (Python) with a focus on designing and developing complex data-intensive applications.
- 5+ years building robust ETL pipelines.
- 3+ years of architecture and design (patterns, reliability, scalability, quality) of complex systems.
- Advanced coding skills and practices (concurrency, distributed systems, functional principles, performance optimization).
- Professional experience working in an agile environment.
- Strong analytical and problem-solving ability.
- Strong written and verbal communication skills. Experience in operating and maintaining production-grade software.
- In-depth knowledge of software and data engineering best practices.
- Experience with large scale distributed data technologies and tools.
- Experience pulling data from a variety of data source types including Mainframe (EBCDIC), Fixed Length and delimited files, databases (SQL, NoSQL, Time-series).
- Strong coding skills for analytics and data engineering (Python).
- Experience with PySpark and Databricks.
- Experience performing analysis with large datasets in a cloud-based environment, preferably with an understanding of Azure.
- Comfortable communicating with various stakeholders (technical and non-technical).
- $90.00 hourly.
- Hourly rate will be determined based on experience.
Interested? Please apply directly online. Agilus would like to thank all candidates for their interest in this opportunity. Due to the volume of resumes we receive; we may only be able to respond directly to those candidates being selected for an interview. We encourage you to visit agilus.ca regularly or subscribe to our email alerts at agilus.ca/Account/Register as new exciting employment opportunities become available daily.
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