{"id":679398,"url":"https://alion.io/job/cpaxtra-data-engineer","title":"Data Engineer","company":{"id":678227,"name":"CP Axtra","domain":"cpaxtra.com","url":"https://alion.io/company/cpaxtra","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":95,"open_postings":89,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Shanghai, China","Bangkok, Thailand"],"countries":["CN","TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-01-06T00:00:00Z","employer_posted_date":"2026-01-06","last_verified_at":"2026-11-03T03:59:51Z","board_verified":true,"closed_at":null,"days_open":301,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":301},"description":"We are seeking an experienced Senior Data Engineer to design, implement, and maintain our data infrastructure and pipelines. The ideal candidate will have a strong background in data engineering, big data technologies, and cloud platforms. You will work closely with data scientists, analysts, and other stakeholders to ensure efficient and reliable data processing and storage solutions and who has mind set things to done\nKey Responsibilities:\nDesign, develop, and maintain scalable data pipelines and ETL processes \nImplement and optimize data storage solutions, including data warehouses and data lakes \nCollaborate with data scientists and analysts to understand data requirements and provide efficient data access \nEnsure data quality, consistency, and reliability across all data systems \nDevelop and maintain data models and schemas \nImplement data security and access control measures \nOptimize query performance and data retrieval processes \nEvaluate and integrate new data technologies and tools \nMentor junior data engineers and provide technical leadership \nCollaborate with cross-functional teams to support data-driven decision-making\nRequirements\nBachelor's or master’s degree in computer science, Engineering, or a related field \n5+ years of experience in data engineering or related roles \nStrong programming skills in Python, Java, or Scala \nExtensive experience with big data technologies such as Hadoop, Spark, and Hive \nProficiency in SQL and experience with both relational and NoSQL databases \nExperience with cloud platforms (AWS, Azure,) and their data services \nKnowledge of data modeling, data warehousing, and ETL best practices \nStrong problem-solving skills and attention to detail \nExcellent communication and collaboration skills as well\nPreferred Qualifications\nExperience with stream processing technologies (eg Kafka, Flink or delta live table ) \nFamiliarity with data governance and compliance requirements \nExperience with containerization and orchestration tools (e.g., Docker, Kubernetes) \nContributions to open-source projects or relevant certifications \nExperience in Tencent big data platform \nExperience in PowerBI will be 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