{"id":2788217,"url":"https://alion.io/job/persistent-systems-azure-data-engineer-3","title":"Azure Data Engineer","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":75,"open_postings":17,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"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":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-16T11:36:53Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T23:44:40Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"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. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix Assessment 2026 and Software Product Engineering PEAK Matrix Assessment 2026.\nAbout Position:\nWe are looking for an experienced Azure Data Engineer with strong expertise in Azure Data Factory (ADF), Azure Databricks (ADB), PySpark, SQL, and Python. The ideal candidate will be responsible for designing, developing, and optimizing enterprise-scale data pipelines and cloud-based data solutions that support analytics, reporting, and business-critical data initiatives. You will play a key role in building scalable ETL/ELT frameworks, enabling enterprise data transformation, and delivering high-quality data solutions across Azure-based platforms. Experience in healthcare data processing, cloud-native architectures, and modern data engineering practices will be an added advantage.\nRole: Azure Data Engineer - ADF, Databricks & PySpark\nLocation: All Persistent Locations\nExperience: 5 to 8 Years\nJob Type: Full-Time Employment\nWhat You'll Do:\nDesign, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks (ADB).\nDevelop and optimize large-scale data processing solutions using PySpark, Spark SQL, Python, and SQL.\nGather, analyze, and translate business requirements into scalable technical data solutions.\nBuild and manage data ingestion, transformation, validation, orchestration, and monitoring workflows.\nDesign reusable frameworks for data integration, transformation, and data quality validation.\nImplement scalable data processing solutions to support reporting, analytics, and AI/ML initiatives.\nEnsure data quality, integrity, availability, reliability, and performance across enterprise data platforms.\nCollaborate with business analysts, data architects, reporting teams, and stakeholders to support analytics and reporting requirements.\nTroubleshoot production issues, resolve data pipeline bottlenecks, and implement performance improvements.\nParticipate in code reviews, testing, deployment, release management, and production support activities.\nImplement cloud security, data governance, compliance, and operational best practices.\nSupport end-to-end ownership of operational responsibilities to ensure platform stability and successful delivery of critical business initiatives.\nContribute to CI/CD implementations and deployment automation initiatives.\nExpertise You'll Bring:\n5-8 years of experience in Data Engineering and Cloud Data Platform development.\nStrong hands-on expertise in Azure Data Factory (ADF) and Azure Databricks (ADB).\nExperience building scalable ETL/ELT pipelines and enterprise data integration frameworks.\nStrong proficiency in PySpark, Spark SQL, Python, and SQL for large-scale data processing.\nExperience with Snowflake data warehousing and cloud-based analytics platforms.\nHands-on experience with Apache Airflow for workflow orchestration and scheduling.\nStrong understanding of data warehousing concepts, dimensional modeling, and modern Lakehouse architectures.\nExperience implementing CI/CD pipelines using GitHub Actions and DevOps best practices.\nStrong SQL development skills including query optimization, troubleshooting, and performance tuning.\nExperience building scalable cloud-native data solutions and supporting enterprise analytics environments.\nKnowledge of data governance, monitoring, MLOps, and AI lifecycle management.\nUnderstanding of data security, compliance requirements, and cloud best practices.\nExposure to healthcare data processing and healthcare analytics platforms is preferred.\nStrong analytical, troubleshooting, problem-solving, and communication skills.\nAbility to work independently and collaborate 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":6372,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","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":"2026-10-17T17:06:51Z"}],"visa":[],"liveness":{"score":33,"band":"fade","label":"Fading","p_open":1,"p_active":0.608,"p_room":0.55,"age_days":31,"expected_fill_days":26,"reasons":["conf:0","win:tail","comp:brand"],"computed_at":"2026-10-17T23:54:30Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-azure-data-engineer-3","json_url":"https://alion.io/job/persistent-systems-azure-data-engineer-3.json","meta":{"generated_at":"2026-10-17T23:54:30Z","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":2349,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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-azure-data-engineer-3"},{"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-azure-data-engineer-3"},{"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-azure-data-engineer-3"},{"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-azure-data-engineer-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-azure-data-engineer-3"}]}