{"id":3668369,"url":"https://alion.io/job/cognizant-cloud-data-engineer","title":"Cloud Data Engineer","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":"A","score":87,"open_postings":181,"ghost_share":0.011,"stale_share":0.47,"repost_share":0.072,"time_to_fill_p50_days":22,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sydney, Australia"],"countries":["AU"],"hiring_countries":["AU"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Jira","optional":false},{"name":"Oracle","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-02T22:07:22Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-06T23:22:44Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"What makes Cognizant a unique place to work? The combination of rapid growth and an unique place international and innovative environment! This is creating many opportunities for people like YOU - people with an entrepreneurial spirit who want to make a difference in this world.\nAt Cognizant, together with your colleagues from all around the world, you will collaborate on creating solutions for the world's leading companies and help them become more flexible, more innovative, and successful. Moreover, this is your chance to be part of the success story.\nPosition Summary\nResults-driven Data Engineer with expertise in designing, building, and optimizing scalable data pipelines across cloud and distributed systems. Skilled in Python, PySpark, and SQL for data ingestion, transformation, and integration, with a strong focus on improving efficiency, reducing costs, and ensuring data quality. Experienced in metadata-driven frameworks, ETL process enhancements, and governance practices to deliver clean, reliable data for analytics and reporting. Adept at collaborating with cross-functional teams, monitoring platform performance, and making continuous improvements to support business growth and decision-making.\nMandatory Skills\n Skills/Tools: Py-spark, Spark SQL, SAS, Databricks, Java, Python, Power Bi, Qlikview, Automation (RPA), web-scraping, IBM Sterling \nDatabase: Hive, Oracle, SSMS, etc \nCloud Platform: Azure services, Databricks, AWS \nLanguage: Python, Java \nCi/CD Tools: Bitbucket, Github and Jenkins \nJob Scheduler: Control-M, DataBricks workflows \nMonitoring and Logging: Skills in using monitoring tools and analysing the root cause using Spark Logs \nSecurity and Compliance: Understanding of security best practices and compliance requirements \nBusiness Domain Knowledge: Banking: Basel 4, Regulatory Reporting \nRoles And Responsibilities\nBuild and maintain scalable data pipelines using cloud services for ingestion, transformation, and storage. \nDevelop data products that integrate customer data from multiple sources into unified profiles. \nCreate metadata-driven frameworks to ensure data quality, consistency, and governance. \nWrite Pyspark, and Spark SQL scripts to perform complex data transformations, ensuring data pipelines are efficient, scalable, and optimized for analytics and reporting. \nSupport ETL processes by fixing errors, improving resiliency, and ensuring data integrity across reports and dashboards. \nMonitor data platforms, respond to alerts, and optimize pipelines for efficiency and cost reduction. \nPerform root cause analysis (RCA) for job failures and ensure stability after releases. \nCollaborate with onsite and offshore teams to coordinate tasks, align processes, and deliver projects smoothly. \nParticipate in design reviews, implementation walkthroughs, and production deployments. \nApply governance best practices to maintain security, lineage, and compliance with organizational and regulatory standards. \nWork closely with stakeholders and architects to capture requirements and deliver reliable solutions. \nUse Atlassian tools (Jira, Confluence, Bitbucket) for project management, documentation, and collaboration. \nLead projects through effective planning, prioritization, and team coordination to ensure successful delivery. \nQualifications/Certifications\nDatabricks Certified Data Engineer Associate\nSQL (Advance) - HackerRank\nPython (Basic) - HackerRank\nSalary Range: 90k-100k\nDate of Posting: 3/11/2026\nNext Steps: If you feel this opportunity suits you, or Cognizant is the type of organization you would like to join, we want to have a conversation with you! Please apply directly with us.\nFor a complete list of open opportunities with Cognizant, visit http://www.cognizant.com/careers. Cognizant is committed to providing Equal Employment Opportunities. 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