{"id":1587138,"url":"https://alion.io/job/concentrix-data-engineer-data-scientist","title":"Data Engineer / Data Scientist","company":{"id":84,"name":"Concentrix","domain":"concentrix.com","url":"https://alion.io/company/concentrix","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":69,"open_postings":1075,"ghost_share":0.605,"stale_share":0,"repost_share":0.004,"time_to_fill_p50_days":15,"computed_at":"2026-10-04T05:45:00Z"}},"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":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":30000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false}],"status":"live","first_seen_at":"2026-10-01T15:12:55Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T22:32:05Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"Job Title:\nData Engineer / Data ScientistJob Description\nWe're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.\nThe Concentrix Technical Products and Services team is the driving force behind Concentrix’s transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation at scale. You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience. Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.\nOur game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as \"World's Best Workplaces,\" “Best Companies for Career Growth,” and “Best Company Culture,” year after year.\nJoin us and be part of this journey towards greater opportunities and brighter futures.\nJob Description: Data Engineer / Data Scientist\nExperience: 5-8 years\nPosition Type: Immediate Requirement\nLocation: Remote\nRole Summary\nWe are looking for an experienced Data Engineer / Data Scientist with strong hands-on expertise in Python, PySpark, Azure Databricks, and MLOps. The candidate should be capable of working independently as an individual contributor while collaborating effectively with cross-functional teams.\nThe ideal candidate will have experience developing scalable batch and streaming data pipelines, working on machine learning projects, debugging Spark applications, and supporting model deployment.\nKey Responsibilities\nDevelop scalable data processing solutions using Python, PySpark, and Azure Databricks.\nBuild and maintain batch and streaming data pipelines.\nDevelop and optimize Spark DataFrame-based transformations.\nDebug and troubleshoot Spark jobs in Azure Databricks.\nImplement Delta Lake solutions for data reliability, versioning, and efficient querying.\nDevelop APIs using Python or Scala for data and machine learning applications.\nSupport machine learning projects, MLOps workflows, and model deployment activities.\nWork with Azure services for data ingestion, storage, security, integration, and processing.\nConfigure and manage Databricks job clusters and notebook workflows.\nValidate processed data by building and executing DataFrame-based checks.\nCollaborate with technical and business teams while independently owning assigned deliverables.\nMust-Have Skills\nStrong hands-on expertise in Python and PySpark.\nGood knowledge of Microsoft Azure and Azure Databricks.\nHands-on experience with MLOps practices and tools.\nBasic understanding of machine learning model deployment.\nPractical experience working on machine learning projects.\nExperience developing and debugging Spark-based applications.\nAbility to work independently and interact effectively with project teams.\nAdditional Relevant Skills\nHands-on experience in Databricks notebook development.\nStrong experience with Spark DataFrames using PySpark or Scala.\nExperience debugging and optimizing Spark jobs in Azure Databricks.\nKnowledge of API development using Python or Scala.\nWorking knowledge of Azure services, including:Azure Event Hubs\nAzure Storage Accounts\nAzure Key Vault\nAzure Service Bus\nAzure Functions\nAzure Data Lake Storage\n\nUnderstanding of Databricks job clusters and compute configurations.\nHands-on experience implementing Azure cloud-based data solutions.\nKnowledge of real-time streaming technologies such as Kafka.\nExperience developing batch and streaming pipelines using Event Hubs, Kafka, or IoT data sources.\nExperience implementing Delta Lake solutions for data reliability, versioning, and query performance.\nWorking knowledge of GitHub or similar version-control platforms.\nPreferred Technical Exposure\nMLflow or similar tools for experiment tracking and model lifecycle management.\nCI/CD implementation for data and machine learning workloads.\nPerformance tuning of Spark applications and Databricks workloads.\nData quality validation, monitoring, and production support.\nSecure integration of Azure services using managed identities and secrets.\nQualifications\nBachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related discipline.\n5-8 years of relevant experience in data engineering, data science, machine learning, or cloud analytics.\nLocation:\nIND Bangalore - MTP C4, 3rd FlrLanguage Requirements:\nTime Type:\nFull time","description_format":"text","description_chars":5367,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Business Process Outsourcing (BPO)","Call Center Services"],"lifecycle":[{"event":"open","at":"2026-10-01T15:12:55Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely open","p_open":1,"p_active":0.617,"p_room":1,"age_days":2,"expected_fill_days":15,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/concentrix-data-engineer-data-scientist","json_url":"https://alion.io/job/concentrix-data-engineer-data-scientist.json","meta":{"generated_at":"2026-10-05T00:28:36Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":528,"day_limit":5000,"remaining_today":4472,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}