{"id":1243765,"url":"https://alion.io/job/tranglo-senior-data-engineer","title":"Senior Data Engineer","company":{"id":49672,"name":"Tranglo","domain":"tranglo.com","url":"https://alion.io/company/tranglo","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":7000,"max":12000,"currency":"MYR","period":"month","gross":true,"usd_annual":35376},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-11T00:33:18Z","employer_posted_date":null,"last_verified_at":"2026-09-11T00:33:18Z","board_verified":false,"closed_at":null,"days_open":42,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":42},"description":"Senior Data Engineer responsible for driving implementation and optimization of centralized data repositories and data lake architectures, ensuring data quality, integrity and availability for analytics and business applications. The role involves designing and maintaining scalable data pipelines (ETL/ELT) across cloud and on-prem environments, providing technical guidance, and enabling data access for machine learning lifecycle from experimentation to production.\n\nResponsibilities / Exposure:\n\nDrive the implementation and optimization of centralized data repositories and data lake architectures, supporting enterprise-wide analytics and reporting.\n\nIdentify, diagnose, and resolve data-related issues, ensuring data quality, integrity, and availability for downstream analytics and business applications.\n\nApply advanced data modeling techniques to solve real-world business challenges, ensuring data consistency, integrity, and performance.\n\nProvide advanced support and troubleshooting for data pipelines, ETL/ELT processes, and data integration workflows across cloud and on-prem environments.\n\nEnhance and mentor others in organizational, communication, and analytical skills, fostering a collaborative and data-driven engineering culture.\n\nGain exposure to the end-to-end machine learning lifecycle, from experimentation to production, by enabling robust and scalable data access for model training and inference.\n\nKey Responsibilities:\n\nDevelop, optimize, and maintain robust data pipelines (ETL/ELT) across both on-premise and cloud environments.\n\nWork closely with business and technical teams to ensure that data mapping aligns with business rules and reporting needs.\n\nMaintain data lake and data warehouse solutions.\n\nDevelop detailed reports and documentation of incidents and resolutions to contribute towards continuous improvement processes within the team.\n\nProvide technical guidance to the junior team and implement best practices and standards of code.\n\nCreate and maintain data mapping documents to define the relationships between source data and target schemas.\n\nDevelop and support the ingestion of data from multiple sources into a centralized data repository or data lake.\n\nPerform basic data cleaning, transformation, and validation to ensure data quality and integrity.\n\nTitle : Senior Data Engineer\nDepartment : Data\nDivision : Technology\nLocation: Bangsar South, KL \n\nRequirements\nQualifications & Requirements:\n\nMinimum 5+ years of experience in data engineering, data warehousing, or big data environments.\n\nStrong understanding of data structures, performance tuning, and optimization.\n\nStrong proficiency in SQL and one or more programming languages (Python, Java, or Scala).\n\nAbility to troubleshoot and improve complex data workflows.\n\nExperience designing systems for scalability, reliability, and maintainability.\n\nStrong communication and documentation skills.\n\nSolid understanding of data governance, security, and compliance principles.\n\nExposure to BI tools such as Power BI, Tableau, or Looker for data consumption and visualization.\n\nExposure to Machine Learning projects implementation.\n\nNice to have: Experience with streaming platforms.\n\nMalaysians only.\n\nSkills\nSQL, ETL/ELT, Data Modeling, Data Warehousing, Data Lake, Data Pipelines, Data Governance, Data Engineering, Data Engineering Scripting Language","description_format":"text","description_chars":3361,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Money Transfer & Remittances"],"lifecycle":[{"event":"open","at":"2026-09-25T17:02:31Z"}],"visa":[],"liveness":{"score":17,"band":"cold","label":"Long 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