
Senior Data Architect
2 days ago
We are seeking a seasoned Data Engineer to join our team. This role will design data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost-effective.
Job DescriptionA Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost-effective. Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design.
The ideal candidate will have experience designing, developing, and maintaining data pipelines and ETL processes using Microsoft Azure services. They will also have knowledge of data storage accounts for organizing and maintaining data pipeline outputs, as well as experience collaborating with data scientists, data analysts, data architects, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Requirements- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
- Proven experience (3+ years) as a Data Engineer or similar role dealing with data and ETL processes.
- Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage, and Azure Data Lake Gen 2.
- Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
- Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
- Experience with big data technologies (e.g., Spark).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Learning agility
- Technical Leadership
- Consulting and managing business needs
- Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc. is accepted.
- Experience building spark applications utilizing PySpark.
- Experience with file formats such as Parquet, Delta, Avro.
- Experience efficiently querying API endpoints as a data source.
- Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.
- Understanding of Git workflows in software development.
- Using Azure DevOps pipeline and repositories to deploy and maintain solutions.
- Understanding of Ansible and how to use it in Azure DevOps pipelines.
- Competitive salary
- Allowances, medical and optical reimbursements
- Health care coverage for you and your eligible dependents
- Robust employee-centred programs for health and wellness
- Time-off to promote healthy work-life balance or to care for your family
- Annual corporate incentive bonus when the company meets established goals
- Recognition & awards program
- Long-term savings plan
- Life insurance
- Career development opportunities to all employees through onboarding, training and development, mentoring, volunteering opportunities, and employee networking groups
- Hybrid work model - work remotely from home several days a week
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