{"id":679195,"url":"https://alion.io/job/cpaxtra-senior-data-engineer","title":"Senior 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":31,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":120,"computed_at":"2026-10-17T05:46:00Z"}},"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":["Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Git","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":"Tableau","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Docker","optional":true},{"name":"Flink","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true}],"status":"live","first_seen_at":"2026-07-02T00:00:00Z","employer_posted_date":"2026-07-02","last_verified_at":"2026-10-17T17:49:10Z","board_verified":true,"closed_at":null,"days_open":107,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":107},"description":"Job Summary\nWe 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.\n\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, or GCP) and their data services\nKnowledge of data modeling, data warehousing, and ETL best practices\nFamiliarity with data visualization tools (e.g., Tableau, Power Bl)\nExperience with version control systems (e.g., Git) and CI/CD pipelines\nStrong problem-solving skills and attention to detail\nExcellent communication and collaboration skills\n\nAdditional Preferred Qualifications\nExperience with stream processing technologies (e.g., Kafka, Flink)\nKnowledge of machine learning and Al technologies\nFamiliarity with data governance and compliance requirements\nExperience with containerization and orchestration tools (e.g., Docker, Kubernetes)\nContributions to open-source projects or relevant 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