{"id":2811545,"url":"https://alion.io/job/persistent-systems-senior-azure-data-engineer-databricks-kafka-spark","title":"Senior Azure Data Engineer ? Databricks, Kafka & Spark","company":{"id":59479,"name":"Persistent Systems","domain":"persistent.com","url":"https://alion.io/company/persistent-systems","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Zwayam","truth_index":{"grade":"B","score":84,"open_postings":80,"ghost_share":0,"stale_share":0.625,"repost_share":0,"time_to_fill_p50_days":39,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","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":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Incident Management","optional":false},{"name":"ITSM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Scrum","optional":false},{"name":"ServiceNow","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-30T09:33:42Z","employer_posted_date":"2026-10-18","last_verified_at":"2026-10-19T18:07:04Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"About Persistent\nWe are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.\nOur disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.\nAbout Position:\nWe are seeking a highly skilled Senior Azure Data Engineer to design, develop, and support scalable data platforms that power advanced healthcare analytics and digital transformation initiatives. The ideal candidate will have expertise in Azure, Databricks, Kafka, Spark, Airflow, and cloud-native data engineering technologies. In this role, you will collaborate with architects, product owners, analysts, and engineering teams to build resilient, secure, and scalable data solutions capable of supporting large-scale enterprise workloads. You will play a critical role in delivering modern data platforms, real-time data processing solutions, and cloud-based analytics capabilities.\nRole: Senior Azure Data Engineer ? Databricks, Kafka & Spark\nLocation: All Persistent Locations\nExperience: Between 6 to 10 Years\nJob Type: Full Time Employment\nWhat You'll Do:\nCollaborate with product owners, systems analysts, architects, and engineering teams to deliver solutions aligned with Agile roadmaps.\nDesign, develop, test, and maintain enterprise-scale data engineering solutions on Azure and cloud platforms.\nBuild and maintain scalable data pipelines using Databricks, Spark, Kafka, and Airflow.\nDesign and implement batch and real-time data processing solutions.\nDevelop and optimize data integration frameworks using APIs, streaming technologies, and cloud-native services.\nWork with relational and non-relational databases to support enterprise data platforms.\nDevelop and maintain RESTful API integrations and data services.\nImplement data ingestion, transformation, orchestration, and data quality processes.\nCollaborate with solution architects to evaluate functional and non-functional requirements.\nSupport Data as a Service (DaaS) and Container as a Service (CaaS) initiatives.\nBuild and maintain deployment automation, CI/CD pipelines, monitoring, and operational frameworks.\nTroubleshoot production issues and participate in root cause analysis activities.\nUtilize ServiceNow and ITSM processes for incident and problem management.\nImplement reliability engineering, fault-tolerant architecture, deployment planning, and automated testing practices.\nEnsure data platform scalability, performance, reliability, and security.\nParticipate in code reviews and contribute to engineering best practices and standards.\nMentor junior engineers and contribute to knowledge-sharing initiatives.\nExpertise You'll Bring:\n6?10 years of experience in Data Engineering and cloud-based application development.\nStrong hands-on experience with Azure or AWS cloud platforms.\nMinimum 5 years of experience working with Databricks and Kafka.\nStrong expertise in Apache Spark and distributed data processing.\nExperience building scalable batch and streaming data pipelines.\nHands-on experience with Apache Airflow for workflow orchestration and automation.\nExperience working with Snowflake data warehouse solutions.\nStrong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.\nProficiency in SQL and performance optimization techniques.\nExperience working with relational and non-relational databases.\nWorking knowledge of RESTful APIs and enterprise integration patterns.\nStrong understanding of data modeling, data governance, and data quality frameworks.\nExperience implementing CI/CD pipelines and DevOps practices.\nFamiliarity with Docker, Kubernetes, and container-based deployments is preferred.\nExperience using monitoring, logging, and observability tools.\nExperience working with Agile delivery methodologies and Scrum teams.\nKnowledge of software engineering practices including reliability engineering, deployment planning, and fault-tolerant architectures.\nExperience with ServiceNow and incident management processes.\nStrong analytical, troubleshooting, and problem-solving skills.\nExcellent communication, collaboration, and stakeholder management capabilities.\nAbility to work independently and effectively within cross-functional teams.\nBenefits:\nCompetitive salary and benefits package\nCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications\nOpportunity to work with cutting-edge technologies\nEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awards\nAnnual health check-ups\nInsurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents\nValues-Driven, People-Centric & Inclusive Work Environment:\nPersistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.\nWe support hybrid work and flexible hours to fit diverse lifestyles.\nOur office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.\nIf you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment.\nLet's unleash your full potential at Persistent - persistent.com/careers\n?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?","description_format":"text","description_chars":6475,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Health Care","Information Technology","IT Outsourcing & Dedicated Teams"],"lifecycle":[{"event":"open","at":"2026-10-18T09:41:59Z"}],"visa":[],"liveness":{"score":53,"band":"ok","label":"Likely open","p_open":1,"p_active":0.594,"p_room":0.9,"age_days":18,"expected_fill_days":39,"reasons":["conf:3","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-19T05:45:15Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-senior-azure-data-engineer-databricks-kafka-spark","json_url":"https://alion.io/job/persistent-systems-senior-azure-data-engineer-databricks-kafka-spark.json","meta":{"generated_at":"2026-10-19T20:41:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":16438,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-20T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":59479},"rest":"https://alion.io/mcp/rest/get_company?id=59479"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpersistent-systems-senior-azure-data-engineer-databricks-kafka-spark"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpersistent-systems-senior-azure-data-engineer-databricks-kafka-spark"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpersistent-systems-senior-azure-data-engineer-databricks-kafka-spark"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/persistent-systems-senior-azure-data-engineer-databricks-kafka-spark\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-senior-azure-data-engineer-databricks-kafka-spark"}]}