{"id":3137285,"url":"https://alion.io/job/zensar-technologies-dea-core-cloud-data-engineering-snowflake-data-engineering","title":"DE&A - Core - Cloud Data Engineering - Snowflake Data Engineering","company":{"id":59576,"name":"Zensar Technologies","domain":"zensar.com","url":"https://alion.io/company/zensar-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":86,"open_postings":45,"ghost_share":0.178,"stale_share":0.089,"repost_share":0.4,"time_to_fill_p50_days":5,"computed_at":"2026-10-25T05:49:26Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":8},"experience_years_min":12,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Azure DevOps","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Docker","optional":true},{"name":"GCP","optional":true},{"name":"Git","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Java","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Looker","optional":true},{"name":"Master Data Management","optional":true},{"name":"MySQL","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Power BI","optional":true},{"name":"Python","optional":true},{"name":"QlikSense","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true},{"name":"Tableau","optional":true},{"name":"Teradata","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-23T05:05:05Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T21:37:41Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"We are seeking a highly motivated Data Engineer to design, build, and maintain scalable data platforms and pipelines that enable analytics, reporting, machine learning, and AI-driven business solutions. The ideal candidate will have expertise in data integration, cloud technologies, data warehousing, and modern data engineering practices, with a strong focus on data quality, performance, and reliability.\nThe Data Engineer will work closely with business stakeholders, data architects, analysts, data scientists, and application teams to deliver trusted and scalable data solutions.\nData Pipeline Development\nDesign, develop, and maintain scalable ETL/ELT data pipelines.\nBuild and optimize batch and real-time data ingestion frameworks.\nIntegrate data from multiple sources, including databases, APIs, SaaS applications, and third-party systems.\nEnsure data consistency, quality, and reliability across platforms.\nData Platform Engineering\nDevelop and support enterprise Data Lake, Data Warehouse, and Lakehouse architectures.\nImplement scalable data solutions on cloud platforms.\nDesign data models to support reporting, analytics, and AI/ML use cases.\nOptimize data storage, processing, and query performance.\nData Quality & Governance\nEstablish data validation, cleansing, and monitoring processes.\nImplement data governance, lineage, cataloging, and metadata management practices.\nEnsure compliance with security, privacy, and regulatory requirements.\nSupport audit and data quality initiatives.\nPerformance Optimization\nMonitor and tune data pipelines and databases for performance and scalability.\nIdentify and resolve data bottlenecks and processing issues.\nOptimize SQL queries and large-scale data transformations.\nCollaboration & Stakeholder Engagement\nCollaborate with Data Architects to implement enterprise data solutions.\nWork closely with BI developers, analysts, and data scientists to support analytical needs.\nParticipate in requirements gathering, solution design, and technical reviews.\nProvide production support and troubleshooting for critical data platforms.\nDevOps & Automation\nImplement CI/CD pipelines for data engineering solutions.\nAutomate deployment, monitoring, and operational processes.\nSupport infrastructure-as-code and cloud automation initiatives.\n Education\nBachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or related field.\nMaster's degree is a plus.\nExperience\n12+ years of experience in Data Engineering, Data Warehousing, or Big Data environments.\nExperience building and supporting large-scale enterprise data platforms.\nExperience working in Agile development environments.\nTechnical Skills\nProgramming Languages\nPython\nSQL\nJava (Preferred)\nData Engineering Tools\nApache Spark\nDatabricks\ndbt\nCloud Platforms\nMicrosoft Azure\nAWS\nGoogle Cloud Platform (GCP)\nData Platforms\nSnowflake\nAzure Synapse Analytics\nAmazon Redshift\nBigQuery\nTeradata\nDatabases\nSQL Server\nOracle\nPostgreSQL\nMySQL\nMongoDB\nBusiness Intelligence Tools\nTableau\nPower BI\nLooker\nQlik Sense\nDevOps & Version Control\nGit\nAzure DevOps\nJenkins\nTerraform\nDocker\nKubernetes\nPreferred Skills\nData Lakehouse Architecture\nReal-Time Streaming Architecture\nData Mesh Concepts\nMaster Data Management (MDM)\nData Governance Frameworks\nMachine Learning Data Pipelines\nAPI Development & Integration\nEvent-Driven Architecture\nSoft Skills\nStrong analytical and problem-solving abilities.\nExcellent communication and stakeholder management skills.\nAbility to work independently and collaboratively within cross-functional teams.\nStrong documentation and presentation skills.\nAttention to detail and commitment to delivering high-quality solutions.\nPreferred Certifications\nCloud Certifications\nMicrosoft Azure Data Engineer Associate (DP-203)\nAWS Certified Data Analytics Specialty\nGoogle Professional Data Engineer\nPlatform Certifications\nSnowflake SnowPro Certification\nDatabricks Certified Data Engineer Associate\nTableau Certified Professional 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