Cloud Solutions Architect

4 weeks ago

Canada Pythian Full time
Cloud Consultant

As a Cloud Consultant at Pythian, you will work with a team of globally dispersed cloud specialists to design and create impactful software powering enterprise data platform solutions. You will produce outcomes for real customer projects and help create software artifacts enabling automation of data platform implementations and data migrations.

Key Responsibilities:
  • Design and development of end-to-end cloud-based solutions with a focus on application and data, and a good understanding of infrastructure.
  • Translate complex functional and technical requirements into detailed designs.
  • Write high-performance, reliable, and maintainable code.
  • Develop test automation and associated tooling needed for the project.
  • Work on complex and varied cloud-based projects, including tasks such as collecting, parsing, managing, analyzing, and visualizing very large datasets.
  • Maintain and execute DataOps tasks, such as performance optimization of ETL/ELT pipeline, diagnosis and troubleshooting of pipeline issues, interpreting Data Observability Dashboards, and enhancements.
  • Perform Data Pipeline-specific DevOps activities, such as infrastructure provisioning, writing IaC code, implementing data security, and defining Data Security layers.
  • Follow up with Data Engineering team members to see fixes through completion.
  • Review bug descriptions, functional requirements, and design documents, incorporating this information into test plans and test cases.
  • Performance tuning for batch and real-time data processing.
  • Secure components of clients' cloud data platforms.
  • Health-checks and configuration reviews.
  • Data pipelines development – ingestion, transformation, cleansing.
  • Data flow integration with external systems.
  • Integration with data access tools and products.
  • Foundational CI/CD for all infrastructure components, data pipelines, and custom data apps.
  • Common operational visibility of the data platform from data platform infrastructure to data pipelines, machine learning apps.
  • Assist client application developers and advise on efficient data access and manipulations.
Requirements:
  • Proficiency in a programming language such as Python, Java, Go, or Scala.
  • Experience with big data cloud technologies like EMR, Athena, Glue, Big Query, Dataproc, Dataflow.
  • Ideal experience with Google Cloud Platform data technologies – Google BigQuery, Google DataFlow, and executing PySpark and SparkSQL code at Dataproc.
  • Understanding of the fundamentals of Spark (PySpark or SparkSQL) including using the Dataframe Application Programming Interface and analyzing and performance tuning Spark queries.
  • Experience developing and supporting robust, automated, and reliable data pipelines.
  • Strong SQL skills.
  • Good knowledge of popular database and data warehouse technologies and concepts from Google, Amazon, or Microsoft (Cloud & Conventional RDBMS), such as BigQuery, Redshift, Microsoft Azure SQL Data Warehouse, Snowflake, etc.
  • Strong knowledge of a Data Orchestration solution like Airflow, Oozie, Luigi, or Talend.
  • Knowledge of Data Catalogs (AWS Glue, Google DataPlex, etc.), Data Governance, and Data Quality Solutions.
  • Experience in data modeling, data design, and persistence (e.g., warehousing, data marts, data lakes).
  • Experience in performing DevOps activities such as IaC using Terraform, provisioning infrastructure in GCP/AWS/Azure, defining Data Security layers, etc.
What We Offer:
  • Competitive total rewards package with excellent take-home salaries, shifted work time bonus (if applicable), and an annual bonus plan.
  • Hone your skills or learn new ones with an annual training allowance; 3 weeks of paid time off and flexible working hours.
  • We give you all the equipment you need to work from home, including a laptop with your choice of OS, and a budget to personalize your work environment.

We pride ourselves on our ability to deliver innovative solutions that meet the specific data goals of each client and have built meaningful partnerships with major cloud vendors AWS, Google, and Microsoft. The powerful combination of our extensive expertise in data and cloud and our ability to keep on top of the latest bleeding-edge technologies make us the perfect partner to help mid and large-sized businesses transform to stay ahead in today's rapidly changing digital economy.

Accommodations are available upon request for candidates taking part in all aspects of the selection process.

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