{"id":2558283,"url":"https://alion.io/job/cognizant-big-data-developer","title":"Big Data Developer","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"B","score":84,"open_postings":102,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":53000,"max":108000,"currency":"CAD","period":"year","gross":null,"usd_annual":75632},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hadoop","optional":false},{"name":"Informatica","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenShift","optional":false},{"name":"Python","optional":false},{"name":"Rest-Assured","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-14T12:01:13Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T06:24:30Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Big Data Engineer (Snowflake & Big Data)\nAbout the Role\nAs a Big Data Engineer, you will make an impact by designing, developing, and optimizing scalable data platforms, ETL processes, and data pipelines that enable business-critical analytics and reporting. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, DevOps teams, product owners, and business stakeholders to deliver secure, high-quality data solutions.\nIn This Role, You Will:\nDesign, develop, and maintain scalable data pipelines and ingestion frameworks using Big Data technologies and Snowflake.\nBuild and optimize ETL processes to support data integration, transformation, and delivery across multiple platforms.\nDevelop efficient SQL queries, stored procedures, and data models to ensure high-performance data processing.\nEnsure data quality, security, reliability, and governance standards across the data ecosystem.\nMonitor, troubleshoot, and continuously improve data workflows, platform performance, and operational processes.\nWork Model\nWe believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 4 days per week onsite in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.\nThe 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.\nWhat You Need to Have to Be Considered\nBachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.\n5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive.\nHands-on experience with the Snowflake Data Platform.\nStrong SQL development skills and solid understanding of data modeling concepts.\nExperience developing applications and APIs using Scala or Java.\nExperience with ETL and orchestration tools such as Informatica, Talend, or Apache Airflow.\nExperience working with cloud platforms, preferably AWS.\nUnderstanding of DevSecOps practices, CI/CD pipelines, source control management, and Infrastructure as Code.\nStrong analytical, troubleshooting, communication, and problem-solving skills.\nKnowledge of Generative AI tools to improve coding efficiency and developer productivity.\nThese Will Help You Stand Out\nExperience with Apache Airflow or other workflow orchestration tools.\nExperience with GitHub Actions, automated testing frameworks, Git, and modern CI/CD practices.\nKnowledge of Docker, Kubernetes, OpenShift (OCP4), or containerized application deployment.\nExperience with Python, Shell Scripting, or other automation languages.\nExperience integrating Snowflake with reporting, analytics, and business intelligence platforms.\nWe're excited to meet people who share our passion for technology and innovation 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 perspectives to this role.\nSalary and Other Compensation:\nApplications will be accepted until November 14, 2026.\nThe annual salary for this position is between CAD 53,000 - CAD 108,000 depending on experience and other qualifications of the successful candidate.\nThis position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.\nBenefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:\n· Medical/Dental/Vision/Life Insurance\n· Paid holidays plus Paid Time Off\n· Long-term/Short-term Disability\n· Paid Parental Leave\nDisclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. 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