{"id":1646219,"url":"https://alion.io/job/capco-gcp-data-engineer-4","title":"GCP Data Engineer","company":{"id":1444,"name":"Capco","domain":"capco.com","url":"https://alion.io/company/capco-poland","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":77,"open_postings":120,"ghost_share":0.017,"stale_share":0.883,"repost_share":0.017,"time_to_fill_p50_days":42,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","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":20000,"max_usd":42000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Go","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Spinnaker","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T05:51:35Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-04T00:33:15Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Title: GCP Data Engineer \nAbout Us\n“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. \nWHY JOIN CAPCO?\nYou will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.\nMAKE AN IMPACT\nInnovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.\n#BEYOURSELFATWORK\nCapco has a tolerant, open culture that values diversity, inclusivity, and creativity.\nCAREER ADVANCEMENT\nWith no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.\nDIVERSITY & INCLUSION\nWe believe that diversity of people and perspective gives us a competitive advantage.\nLocation - Bangalore , Hyderabad , Chennai \nMin 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record.\nExpertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka\nGood hands on experience toBuild Batch Data and Streaming Data Pipelines on Google Cloud\nStrong coding/scripting experience developed in a commercial/industry setting (Python, SQL, Java, Scala or Go). Strong SQL ability to write complex queries is must;\nStrong working experience with operational data stores, data warehouse, big data technologies and data lakes\nExperience in using distributed frameworks (Spark, Flink, Beam, Hadoop)\nGood knowledge of containers (Docker, Kubernetes etc) and experience with cloud platforms such as GCP, Azure or AWS.\nExperience working with (Real Time streaming), such as Kafka technologies.\nExperience and knowledge of automation and CI/CD - Jenkins, GitHub & Spinnaker. \nClear understanding of data structures, algorithms, software design, design patterns and core programming concepts.\nCompetent in client handling and lead the feature team to deliver outcome;\nAnd any experience of these would be really useful:\nCertification in GCP “Cloud Architect”, “Cloud Developer”, “Professional Data Engineer”\nCertification in Apache Kafka (CCDAK)","description_format":"text","description_chars":2751,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","IT Consulting & Digital Transformation","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-01T23:41:12Z"}],"visa":[],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":3,"expected_fill_days":42,"reasons":["conf:15","stale_co","wave","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/capco-gcp-data-engineer-4","json_url":"https://alion.io/job/capco-gcp-data-engineer-4.json","meta":{"generated_at":"2026-10-04T00:41:15Z","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":813,"day_limit":5000,"remaining_today":4187,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}