About the role
As an AWS Data Engineer, you will make an impact by designing, building, and optimizing scalable cloud-based data solutions that enable advanced analytics, reporting, and data-driven decision-making. You will be a valued member of the Data Engineering team and work collaboratively with architects, data scientists, business stakeholders, analytics teams, and DevOps professionals to deliver reliable and high-performing data products.
In this role, you will:
- Design, develop, and maintain scalable data pipelines using Databricks, PySpark, Python, and SQL.
- Build and support modern Lakehouse architecture leveraging Delta Lake and Medallion (Bronze, Silver, Gold) design patterns.
- Develop and optimize batch and streaming data ingestion solutions across multiple enterprise data sources.
- Implement data transformation, validation, governance, security, and quality controls to ensure trusted data assets.
- Partner with cross-functional teams to deliver scalable analytics solutions while improving performance, automation, and cost efficiency across the data platform.
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 Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
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.
What you need to have to be considered
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.
- 5+ years of experience in Data Engineering with a focus on large-scale data processing solutions.
- 3+ years of hands-on experience building and supporting Databricks solutions on AWS.
- Strong proficiency in Python, PySpark, Spark SQL, and SQL.
- Experience designing and implementing ETL/ELT pipelines in cloud-based environments.
- Strong understanding of Delta Lake, Data Lakehouse concepts, and Medallion architecture.
- Experience with AWS services such as S3, Glue, Lambda, IAM, Redshift, SNS, SQS, and CloudWatch.
- Knowledge of data modeling, dimensional modeling, and modern data warehousing practices.
- Experience using Git-based version control and CI/CD pipelines for deployment automation.
These will help you stand out
- Experience working with Unity Catalog and enterprise data governance frameworks.
- Hands-on experience optimizing Spark workloads, Databricks clusters, and cloud infrastructure costs.
- Knowledge of Change Data Capture (CDC) patterns and real-time data processing architectures.
- Experience with Infrastructure as Code tools such as Terraform.
- Familiarity with Jenkins, Azure DevOps, or similar automation and release management platforms.
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.
Applications will be accepted until September 10th, 2025.
Salary and Other Compensation:
The annual salary for this position is between $98.000 - $110.000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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。
