{"id":2796813,"url":"https://alion.io/job/persistent-systems-gcp-data-engineer-2","title":"GCP 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":"middle","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":14000,"max_usd":34000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"BigQuery","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-09-03T05:09:19Z","employer_posted_date":"2026-10-17","last_verified_at":"2026-10-17T23:44:40Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"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 motivated and skilled Data Engineer with hands-on experience in Google Cloud Platform (GCP) and strong Python development expertise. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines, enabling reliable data integration, and supporting data-driven decision-making across the organization. This role requires strong technical capabilities in cloud-based data engineering, ETL/ELT development, orchestration frameworks, and database technologies along with the ability to work independently in a collaborative and asynchronous environment.\nRole: GCP Data Engineer\nLocation: All Persistent Locations\nExperience: Between 3 to 5 Years\nJob Type: Full Time Employment\nWhat You'll Do:\nDesign, develop, and maintain scalable data pipelines using Google Cloud Platform services.\nBuild and optimize data ingestion, transformation, and processing workflows using Python and SQL.\nDevelop and manage data solutions leveraging BigQuery, Cloud Storage, and other GCP services.\nCreate high-performance data models and datasets to support analytics and reporting requirements.\nOptimize SQL queries and data processing jobs using partitioning, clustering, window functions, and Common Table Expressions (CTEs).\nDevelop and maintain data transformation frameworks using dbt Core or dbt Cloud.\nImplement and manage workflow orchestration using Prefect, Airflow, or Cloud Composer.\nDevelop REST API integrations using Python, including pagination handling, JSON processing, authentication, and error management.\nConfigure and manage IAM roles, service accounts, and security controls within GCP environments.\nUtilize Terraform to provision and manage cloud infrastructure as code.\nCollaborate with business stakeholders, analysts, and engineering teams to understand data requirements and deliver reliable solutions.\nMonitor pipeline performance, troubleshoot production issues, and implement improvements for reliability and scalability.\nMaintain code repositories using GitHub and follow established branching, merge request, and version control practices.\nEnsure data quality, integrity, governance, and compliance across data pipelines and platforms.\nCreate and maintain technical documentation, data flow diagrams, and operational runbooks.\nParticipate in code reviews and contribute to continuous improvement initiatives across the data engineering team.\nExpertise You'll Bring:\n3 to 5 years of experience in Data Engineering, ETL Development, or Cloud Data Platform implementation.\nStrong hands-on experience with Google Cloud Platform services, particularly BigQuery, Cloud Storage, IAM, and Service Accounts.\nProficiency in Python for data engineering, automation, and REST API integrations.\nExperience building and managing data pipelines using modern ETL/ELT methodologies.\nStrong expertise in SQL, including advanced query optimization, window functions, joins, aggregations, and CTEs.\nHands-on experience with dbt (Core or Cloud) for data transformation and modeling.\nExperience with orchestration tools such as Prefect, Apache Airflow, or Cloud Composer.\nStrong understanding of data warehousing concepts, dimensional modeling, and large-scale data processing.\nExperience with GitHub and version control best practices.\nKnowledge of Infrastructure as Code (IaC) using Terraform.\nUnderstanding of data governance, data quality frameworks, and security best practices.\nExperience working with structured, semi-structured, and unstructured datasets.\nStrong analytical, problem-solving, and debugging skills.\nAbility to work independently and effectively in an asynchronous work environment.\nExcellent communication and documentation skills.\nStrong commitment to quality, continuous learning, and engineering excellence.\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":6291,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Continuous learning","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":"2026-10-17T23:44:40Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.548,"p_room":0.28,"age_days":44,"expected_fill_days":21,"reasons":["conf:1","win:tail","crowd:brand"],"computed_at":"2026-10-18T01:41:09Z"},"pay":null,"html_url":"https://alion.io/job/persistent-systems-gcp-data-engineer-2","json_url":"https://alion.io/job/persistent-systems-gcp-data-engineer-2.json","meta":{"generated_at":"2026-10-18T01:41:09Z","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":2789,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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-gcp-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-gcp-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-gcp-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-gcp-data-engineer-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpersistent-systems-gcp-data-engineer-2"}]}