{"id":1428166,"url":"https://alion.io/job/persistent-systems-senior-data-engineer","title":"Senior 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":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","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":22000,"max_usd":44000,"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":"Agile","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-28T23:19:58Z","employer_posted_date":null,"last_verified_at":"2026-09-28T23:19:58Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":3},"description":"About Position:\n\nWe are looking for an experienced Senior Data Engineer with expertise in Ab Initio, Python, and Google Cloud Platform (GCP) to design, develop, and maintain scalable data engineering solutions. The ideal candidate will be responsible for building optimized and highly available data pipelines that support enterprise data integration, reporting, analytics, and business intelligence initiatives. This role requires strong technical expertise in ETL development, data warehousing, cloud platforms, and big data technologies.\n\nRole: Senior Data Engineer \nLocation: Bengaluru, Hyderabad\nExperience: 5 to 8 Years\nJob Type: Full Time Employment\n\nWhat You'll Do:\n\nDesign, develop, and maintain scalable data engineering and data integration solutions.\nBuild and optimize ETL/ELT pipelines using Ab Initio and modern data engineering frameworks.\nAnalyze business requirements and translate them into efficient data processing solutions.\nDevelop and maintain highly available and reliable data pipelines for enterprise-scale data platforms.\nWork closely with business and technical stakeholders to understand data requirements and deliver effective solutions.\nDesign and maintain data warehouse structures, data models, and analytics environments.\nDevelop scripts and automation solutions using Python to support data integration and processing activities.\nIntegrate data from multiple structured and unstructured sources across cloud and on-premise environments.\nPerform data validation, data quality checks, and performance optimization activities.\nTroubleshoot and resolve complex data engineering and integration issues.\nConduct code reviews and ensure adherence to coding standards, testability, and code quality practices.\nCollaborate with cross-functional teams including Data Architects, Data Analysts, Business Teams, and Cloud Engineers.\nSupport deployment, monitoring, and maintenance of production data environments.\nEnsure compliance with enterprise data governance, security, and data management standards.\nParticipate in Agile ceremonies including sprint planning, estimations, reviews, and retrospectives.\n\nExpertise You'll Bring:\n\n5 to 8 years of experience in Data Engineering, ETL Development, or Data Integration.\nStrong hands-on experience with Ab Initio development and data integration solutions.\nSolid experience in Python programming and scripting for data engineering use cases.\nExperience working with Google Cloud Platform (GCP) services and cloud-native data solutions.\nStrong understanding of ETL/ELT concepts, data processing frameworks, and data engineering best practices.\nExperience working with Apache Spark and distributed data processing technologies.\nStrong knowledge of SQL and relational database systems.\nExperience with Data Warehousing concepts, dimensional modeling, and analytics platforms.\nFamiliarity with Hadoop ecosystem and big data technologies.\nExperience with Docker and containerization technologies.\nAbility to design scalable and high-performance data pipelines.\nExperience performing code reviews with a focus on quality, maintainability, and testing standards.\nStrong analytical, troubleshooting, and problem-solving abilities.\nExperience working in Agile development environments.\nExcellent communication and stakeholder management skills.\nAbility to work collaboratively across multiple teams and business functions.\n\nBenefits:\n\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\n\nValues-Driven, People-Centric & Inclusive Work Environment:\n\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.\n\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\n\nLet's unleash your full potential at Persistent - persistent.com/careers\n\nPersistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.","description_format":"text","description_chars":4744,"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":["Flexible schedule","Growth opportunities","Hybrid work","Insurance coverage"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-09-29T00:08:44Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":24,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-senior-data-engineer","json_url":"https://alion.io/job/persistent-systems-senior-data-engineer.json","meta":{"generated_at":"2026-10-02T02:59:01Z","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":4045,"day_limit":5000,"remaining_today":955,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}