{"id":2766007,"url":"https://alion.io/job/persistent-systems-sr-databricks-engineer-adbsnowflake","title":"Sr. DataBricks Engineer (ADB+Snowflake)","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":19500,"max_usd":40000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":59},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","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":"2026-06-25T17:39:47Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T20:26:58Z","board_verified":true,"closed_at":null,"days_open":114,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":113},"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 have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the ?Brand Finance India 100? 2025 report. We were also cited as a Leader in the ISG Provider Lens? 2025 for Digital Engineering Services 2025and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix� Assessment 2025\nAbout Position:\nWe are looking for an experienced Senior Azure Data Engineer with strong expertise in Databricks, Snowflake, and ETL/ELT pipeline development. The candidate will be responsible for building scalable, high-performance data solutions on Azure to support analytics and business use cases.\nThe ideal candidate will work closely with cross-functional teams to design and deliver high-performance, reliable, and data-driven solutions, while ensuring data quality, efficiency, and scalability within the Azure ecosystem.\nRole: Sr.Azure Databricks Engineer\nLocation: Bangalore, Pune & Chennai\nExperience: 8 to 16 Years\nJob Type: Full Time Employment\n\nWhat You'll Do:\nDesign and develop scalable data pipelines using Azure Databricks (PySpark)\nBuild and maintain robust ETL/ELT workflows for large-scale data processing\nDevelop and optimize complex SQL queries in Snowflake for analytics and reporting\nIntegrate data pipelines using Azure services such as ADF, ADLS, and Synapse\nDesign and manage Snowflake data warehouse structures (tables, views, pipelines)\nPerform performance tuning of Spark jobs and Snowflake workloads\nImplement data quality, validation, governance, and monitoring mechanisms\nCollaborate with business stakeholders to gather requirements and deliver data solutions\nTroubleshoot and resolve data pipeline and production issues\nExpertise You'll Bring:\n8?12 years of experience in Data Engineering\nStrong hands-on experience with Azure Databricks and PySpark\nExtensive experience with Snowflake (data modeling, optimization, ETL/ELT pipelines)\nStrong proficiency in SQL and Python\nExperience with Azure services: Data Factory (ADF), Data Lake (ADLS), Synapse\nSolid understanding of data warehousing, ETL processes, and pipeline architecture\nExperience with version control and CI/CD tools (Git, Azure DevOps)\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:\nPersistentis 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. 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