{"id":2979739,"url":"https://alion.io/job/algoworks-production-support-data-engineer","title":"Production Support Data Engineer","company":{"id":2091826,"name":"Algoworks","domain":"algoworks.com","url":"https://alion.io/company/algoworks-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":1800000,"max":2400000,"currency":"INR","period":"year","gross":null,"usd_annual":25358},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Git","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Azure DevOps","optional":true},{"name":"CI/CD","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-21T04:30:08Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T12:32:25Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Role: Azure Data Engineer\nLocation: Remote, India\nExperience: 7+ Years\nAlgoworks\nwww.algoworks.com\nAbout the Company\nAlgoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.\nFor over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.\nAt Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.\nThrough collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.\nFollow the video below to know about us! Clipchamp\nRole Overview\nWe are looking for an experienced Azure Data Engineer with strong hands-on expertise in Azure Databricks, PySpark, SQL, Delta Lake, and Medallion Architecture. This role primarily focuses on production support, code migration, and implementation of released changes within an existing enterprise data platform.\nThe ideal candidate will be comfortable working with Git repositories, identifying ticket-specific code changes, safely integrating approved updates, troubleshooting production issues, and coordinating with client teams throughout migration and release activities.\nKey Responsibilities\n1. Production Support & Troubleshooting\nWork closely with client and development teams to understand production issues, change requests, and released tickets.\nTroubleshoot production pipeline failures, data issues, and transformation errors.\nPerform data validation, reconciliation, and root cause analysis.\nInvestigate issues across existing enterprise data platforms and implement approved fixes.\nCoordinate with client teams to ensure timely resolution of production issues.\n2. Git Management & Code Migration\nReview Git repositories and identify code changes associated with released tickets.\nPerform Git cherry-picking, branch management, merge conflict resolution, and code integration.\nApply approved changes to existing Databricks notebooks, PySpark code, SQL transformations, and data pipelines.\nEnsure code changes are integrated safely into existing codebases.\nSupport migration of changes across Development, UAT, and Production environments.\n3. Azure Databricks & Data Engineering\nSupport and maintain data pipelines using Azure Databricks, PySpark, Azure Data Factory, and ADLS Gen2.\nApply changes to existing notebooks, data transformations, and processing workflows.\nWork with Delta Lake and Delta Tables, including MERGE operations, incremental processing, schema evolution, Change Data Feed (CDF), and optimization.\nMaintain data quality and consistency across processing stages.\nWork with Medallion Architecture to support structured data processing and transformation.\n4. Release Management & Deployment Support\nSupport the migration and implementation of approved changes across Dev, UAT, and Production environments.\nCoordinate with client teams during releases and production deployments.\nValidate deployed changes and investigate post-release issues.\nFollow established code integration, migration, and deployment procedures.\nHelp maintain the reliability and stability of the existing enterprise data platform.\nRequired Technical Skills & Competencies\nStrong hands-on experience with Azure Databricks and PySpark.\nStrong SQL and data transformation skills.\nExperience with Delta Lake and Delta Tables.\nGood understanding of Medallion Architecture.\nExperience with Azure Data Factory and ADLS Gen2.\nStrong Git experience, particularly cherry-picking, branching, merging, and conflict resolution.\nProduction support and troubleshooting experience.\nExperience working with existing enterprise data platforms and code migration activities.\nAbility to investigate data issues, perform reconciliation, and conduct root cause analysis.\nExperience implementing released changes and supporting deployments across multiple environments.\nMust-Have Skills\nAzure Databricks\nPySpark\nSQL and Data Transformations\nDelta Lake / Delta Tables\nMedallion Architecture\nAzure Data Factory\nADLS Gen2\nGit Cherry-Picking\nBranch Management and Merge Conflict Resolution\nProduction Support and Troubleshooting\nCode Migration and Integration\nData Validation and Reconciliation\nDev, UAT, and Production Release Support\nGood to Have Skills\nAzure Event Hubs\nChange Data Capture (CDC)\nDebezium\nDatabricks Workflows and Jobs\nUnity Catalog\nAzure DevOps and CI/CD\nExperience with large-scale data platforms\nData pipeline and performance optimization\nDesired Attributes\nHands-on approach to production support and data engineering.\nStrong troubleshooting and problem-solving skills.\nAbility to quickly understand existing codebases and identify ticket-specific changes.\nCareful and systematic approach to cherry-picking, code integration, and migration.\nStrong understanding of data quality and transformation logic.\nAbility to coordinate effectively with client and development teams.\nStrong ownership of release activities and production stability.\nAttention to detail when implementing changes across environments.\nInterview Process\n2-3 rounds of discussion.","description_format":"text","description_chars":6019,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Custom Software 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