{"id":2766011,"url":"https://alion.io/job/persistent-systems-data-engineer-2","title":"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":"junior","employment_type":null,"work_mode":"hybrid","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":13500,"max_usd":31000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":12},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"BigQuery","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-07-13T12:10:53Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T03:59:24Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":95},"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 a highly skilled Data Engineer with expertise in SQL, Cloud Data Platforms, Data Architecture, and Data Integration to design and build scalable, secure, and high-performance data solutions. The ideal candidate will be responsible for developing modern data architectures, building reliable data pipelines, optimizing data platforms, and enabling data-driven decision-making across the organization.\nRole: Data Engineer\nLocation: Bengaluru\nExperience: 2 to 5 Years\nJob Type: Full-Time Employment\nWhat You'll Do:\nDesign, develop, and optimize complex SQL queries, stored procedures, CTEs, window functions, and database objects.\nPerform query tuning, execution plan analysis, indexing, and partitioning to improve database performance and scalability.\nBuild and maintain scalable data pipelines for data ingestion, transformation, and analytics workloads.\nDesign and implement modern data architectures covering ingestion, storage, processing, and compute layers.\nWork with cloud-based data warehouses including Snowflake, BigQuery, Redshift, and Azure SQL.\nDevelop and manage cloud-native data solutions across AWS, Azure, and GCP platforms.\nIntegrate data from multiple structured, semi-structured, and unstructured data sources.\nDevelop and maintain ETL/ELT workflows using tools such as Airflow, Azure Data Factory (ADF), AWS Glue, Databricks, or similar platforms.\nAutomate data processes to improve reliability, scalability, operational efficiency, and reduce manual intervention.\nEnsure data quality, governance, security, compliance, and data lineage standards are maintained across the data ecosystem.\nCollaborate with Data Analysts, Data Scientists, Product Managers, and Business Teams to understand business requirements.\nTranslate business requirements into scalable and maintainable data engineering solutions.\nMonitor, troubleshoot, and optimize data pipelines, workflows, database performance, and platform health.\nParticipate in architecture reviews and contribute to data platform modernization initiatives.\nMentor junior data engineers and promote engineering best practices, coding standards, and technical excellence.\nCreate technical documentation, architecture diagrams, operational runbooks, and deployment guides.\nExpertise You'll Bring:\n2-5 years of experience in Data Engineering, Data Warehousing, or related fields.\nAdvanced expertise in SQL including complex query writing, stored procedures, CTEs, window functions, and query optimization.\nStrong experience in database performance tuning, execution plan analysis, indexing strategies, and partitioning.\nHands'on experience with relational databases and cloud data warehouses such as Snowflake, BigQuery, Amazon Redshift, and Azure SQL.\nExperience designing and implementing scalable data architectures and modern data platforms.\nStrong knowledge of AWS, Azure, and GCP cloud services for data engineering workloads.\nExperience building and managing ETL/ELT pipelines and enterprise data integration solutions.\nHands'on experience with workflow orchestration tools such as Apache Airflow, Azure Data Factory (ADF), AWS Glue, Databricks, or similar platforms.\nExperience integrating structured, semi-structured, and unstructured data sources.\nStrong understanding of data modeling, data warehousing concepts, and analytics platforms.\nProficiency in Python, SQL, or other data engineering programming languages.\nKnowledge of data governance, security, compliance, and data quality best practices.\nExperience working with large-scale data processing and analytics environments.\nStrong analytical, troubleshooting, and problem-solving skills.\nExcellent communication and stakeholder management skills.\nExperience mentoring junior engineers and leading technical best practices.\nAbility to collaborate effectively with business and technical stakeholders in Agile delivery environments.\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 accessibilityfriendly, 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":6673,"description_truncated":false,"requirements":{"experience_years_min":2,"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":"2026-10-17T03:59:24Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long shot","p_open":1,"p_active":0.153,"p_room":0.28,"age_days":95,"expected_fill_days":19,"reasons":["conf:1","stale_co","velocity","win:tail","crowd:junior"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-data-engineer-2","json_url":"https://alion.io/job/persistent-systems-data-engineer-2.json","meta":{"generated_at":"2026-10-17T07:25:55Z","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":10109,"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-data-engineer-2"},{"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-data-engineer-2"},{"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-data-engineer-2"},{"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-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-data-engineer-2"}]}