Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Snowflake/Python Developer
About the role
As a Snowflake/Python Developer, you will make an impact by designing and building scalable data pipelines and infrastructure that power analytics and machine learning workloads. You will be a valued member of our data engineering team and work collaboratively with data scientists, analysts, and cross-functional stakeholders.
In this role, you will:
· Design, develop, and maintain robust, scalable data pipelines using Python and PySpark to ingest, transform, and serve large-scale structured and unstructured datasets.
· Build and manage data workflows on Snowflake, including schema design, data modeling, query optimization, and performance tuning.
· Implement ETL/ELT processes to integrate data from diverse sources (APIs, databases, event streams, flat files) into centralized data lakes or warehouses.
· Collaborate with data scientists and analysts to understand requirements and deliver clean, reliable datasets for analytics and ML workloads.
· Develop and maintain data quality checks, monitoring, and alerting to ensure pipeline reliability and data integrity.
· Optimize Snowflake costs through warehouse sizing strategies, clustering keys, result caching, and query profiling.
· Participate in code reviews, contribute to best practices, and help establish engineering standards within the data team.
· Document data flows, pipeline designs, and data dictionaries to support cross-functional transparency.
· Support CI/CD practices for data pipeline deployment using tools such as GitHub Actions, Airflow, dbt, or similar.
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
· Proficiency in Python and PySpark for large-scale data processing.
· Hands-on experience with Snowflake, including schema design, data modeling, and query optimization.
· Demonstrated experience building and maintaining ETL/ELT pipelines integrating diverse data sources.
· Familiarity with CI/CD tooling and practices for data pipeline deployment (e.g., GitHub Actions, Airflow, dbt).
· Strong understanding of data quality principles, monitoring, and alerting strategies.
These will help you stand out
· Experience with cost optimization strategies in Snowflake, such as clustering keys, result caching, and warehouse right-sizing.
· Familiarity with cloud data lake architectures and unstructured data processing at scale.
· Strong documentation habits and experience creating data dictionaries and pipeline design artifacts.
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.
La Comunidad Cognizant:
Somos un equipo que se aprecia y apoya mutuamente. Nuestros asociados trabajan en un entorno colaborativo e integrador en el que todos pueden prosperar.
- Cognizant es una comunidad global con más de 300.000+ asociados en todo el mundo.
- No solo soñamos con un mundo mejor, sino que trabajamos para hacerlo realidad.
- Cuidamos de nuestros asociados, clientes, socios, comunidades y entorno haciendo lo correcto.
- Fomentamos un entorno innovador en el que puedes desarrollar tu carrera profesional.
Acerca de nosotros
Cognizant (NASDAQ: CTSH) es arquitecto de soluciones de IA y proveedor de servicios tecnológicos que traduce la inversión en inteligencia artificial en valor empresarial real mediante soluciones de IA de stack completo adaptadas a cada cliente. Su profundo conocimiento de la industria, los procesos y la ingeniería le permite integrar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan un impacto real en el negocio y mantienen a las grandes empresas globales un paso adelante en un mundo en constante cambio. Para más información, visita www.cognizant.es o síguenos en @cognizant.
Cognizant es un empleador que ofrece igualdad de oportunidades. Tu solicitud y candidatura no serán consideradas en base a raza, color, sexo, religión, credo, orientación sexual, identidad de género, origen nacional, discapacidad, información genética, embarazo, condición de veterano o cualquier otra característica protegida por las leyes federales, estatales o locales.
Advertencia:
La información sobre remuneración es exacta a la fecha de esta publicación. Cognizant se reserva el derecho a modificar esta información en cualquier momento, sujeto a la legislación aplicable.Es posible que los candidatos deban asistir a entrevistas en persona o por videoconferencia e, incluso, que tengan presentar su documento de identidad vigente, durante cada entrevista.