About the role:
As a Data Engineer, you will make an impact by designing, developing, and supporting scalable cloud-based data solutions that enable data integration, transformation, and analytics across the enterprise. You will be a valued member of the Data Engineering team and work collaboratively with architects, business stakeholders, application teams, and platform engineers to deliver reliable and high-quality data pipelines.
In this role, you will:
- Design, develop, and maintain data pipelines using Azure Data Factory (ADF), Snowflake, Python, and SQL.
- Build and optimize ELT/ETL processes to support enterprise data warehousing and analytics initiatives.
- Develop and support Snowflake objects including Tasks, Dynamic Tables, and COPY INTO processes for efficient data ingestion and transformation.
- Monitor, troubleshoot, and enhance data pipelines to ensure performance, reliability, and data quality.
- Collaborate with cross-functional teams to support CI/CD implementation, code deployments, and Agile delivery practices.
Work model:
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Ontario and/or Nova Scotia, where our hubs are located. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
What you need to have to be considered:
- Proven experience as a Data Engineer with strong expertise in Snowflake, Azure Data Factory (ADF), Python, and SQL.
- Hands-on experience developing and supporting ADF components including Flow Control Logic, Lookups, Copy Activities, Data Flows, Child Pipeline Execution, Script Activities, and Batch Service Calls.
- Strong knowledge of Snowflake architecture and objects, including Tasks, Dynamic Tables, and COPY INTO commands.
- Advanced SQL skills with experience in data modeling, query optimization, and performance tuning.
- Experience with enterprise Data Warehousing, ETL/ELT frameworks, and modern cloud data platforms.
- Experience implementing CI/CD practices and deployment processes using Azure DevOps.
- Strong troubleshooting and problem-solving skills with the ability to resolve complex data pipeline issues.
- Experience working in Agile delivery environments.
These will help you stand out:
- Experience with Databricks, including developing notebooks for change data capture (CDC) processes.
- Familiarity with Spark and PySpark for large-scale data processing.
- Experience working with Azure services such as Event Hub, Event Grid/Event Subscriptions, Azure Functions, and Enterprise Messaging Services (EMS).
- Knowledge of Python libraries including Pandas, Snowflake Connector, Azure SDK, and Keyring.
- Experience supporting cloud migration, data modernization, or large-scale analytics initiatives.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between $105,000.00 - $ 120,000.00 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
Note: The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
