{"id":2916219,"url":"https://alion.io/job/buildxpartners-data-engineer-gcp","title":"Data Engineer-GCP","company":{"id":3800477,"name":"Buildxpartners","domain":"buildxpartners.com","url":"https://alion.io/company/buildxpartners","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Zoho Recruit","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":35000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":21},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Alteryx","optional":false},{"name":"Apache Kafka","optional":false},{"name":"DataStage","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"QlikSense","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-02-28T00:00:00Z","employer_posted_date":"2026-02-28","last_verified_at":"2026-10-21T06:34:41Z","board_verified":true,"closed_at":null,"days_open":235,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":235},"description":"Job Title: GCP Data Engineer\nExperience: 3-5 Years\nLocation: Chennai - Hybrid (4 Days/Week)\nAbout the Company:\nOur client is a global digital transformation and marketing technology services firm that helps enterprises deliver personalized, data-driven customer experiences. With strong capabilities across engineering, cloud, data, and experience design, the company partners with leading brands to build scalable, high-performance digital platforms. Their teams work on complex, high-traffic web applications using modern architectures and cloud-native technologies.\nRole Overview:\nThis role is responsible for designing, building, and optimizing scalable data pipelines to support advanced analytics and business insights. The position works closely with data scientists, engineers, and business stakeholders to translate requirements into robust cloud-based data solutions. The ideal candidate has strong hands-on experience with GCP (especially BigQuery), Terraform, Python, and advanced SQL, along with expertise in data pipeline development within big data environments. The role also involves improving data quality, preventing recurring data issues, mentoring team members, and delivering reliable solutions in an agile, fast-paced setting.\nKey Responsibilities:\nWork with data scientists and software engineers to support data quality initiatives, data solution ideation, and implementation\nWork with technical and business leads to transfer global business requirements into sound solutions and implementation\nShare support responsibilities for implemented components\nRequired Skills:\n3+ years of demonstrated ability with Hive, Python, Spark/Scala, SQL, etc.\nGoogle Cloud Platform Experience, Big Query, Cloud Storage, Dataproc, Data Flow, Cloud Composer, Cloud SQL, Pub Sub, Terraform, etc.\nExperience with Hadoop Ecosystem, Kafka, PCF cloud services\nFamiliar with big data and machine learning tools and platforms\nExperience with BI tools, such as Alteryx, Data Stage, QlikSense, etc.\nDesign data pipelines and data robots, take a vision and bring it to life\nMaster data engineer; 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