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.
コグニザントのコミュニティ：
私たちは、互いを尊重し支え合う優秀な人材の集まりです。社員一人ひとりが成長し、力を発揮できるよう、エネルギッシュで協力的かつインクルーシブな職場環境を大切にしています。
- コグニザントは、世界中に30万人以上のアソシエイトを擁するグローバルコミュニティです。
- 私たちは、より良い方法を夢見るだけでなく、それを実現します。
- 人、クライアント、企業、地域社会、そして環境に対して、常に「正しいこと」を行うことで責任を果たします。
- あなたにとって最適なキャリアパスを築くことができる、革新的な環境を提供します。
私たちについて：
コグニザント（NASDAQ: CTSH）は、AI builderおよびテクノロジーサービスプロバイダとして、AI投資を企業価値へとつなげるフルスタックのAIソリューションを提供しています。業界、業務プロセス、エンジニアリングに関する深い専門性を強みに、各企業固有のコンテキストをテクノロジーシステムに組み込み、人の力を最大限に引き出すとともに、具体的な成果の創出と、急速に変化する世界におけるグローバル企業の競争力維持を支援します。詳しくは、当社ウェブサイト www.cognizant.com をご覧ください。
コグニザントは機会均等を重視する雇用主です。応募者および候補者は、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、または連邦、州、地方の法律で保護されているその他の特性に基づいて差別されることはありません。
免責事項：
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現住所または政府発行の身分証明書の提示が必要となる場合があります。