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.
Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
