{"id":4108805,"url":"https://alion.io/job/strato-solutions-data-engineer-3yoe","title":"Data Engineer, 3YOE","company":{"id":1453305,"name":"Strato Solutions","domain":"stratosolutions.ca","url":"https://alion.io/company/stratosolutions","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":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Grafana","optional":false},{"name":"MySQL","optional":false},{"name":"Oracle","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-11-11T22:58:55Z","employer_posted_date":null,"last_verified_at":"2026-11-11T22:58:55Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Job Summary\nThe Data Engineer is responsible for collecting, validating, processing, and analyzing data from multiple sources to support project implementation and business decision-making. The role involves transforming complex datasets into meaningful insights, reports, dashboards, and visualizations while ensuring data quality, consistency, and accuracy.\n\nThe successful candidate will work closely with project stakeholders, business users, developers, database administrators, and technical teams to support data-driven initiatives throughout the project lifecycle.\n\nKey Responsibilities\nCollect, consolidate, cleanse, validate, and maintain data from multiple internal and external sources.\nPerform data profiling, quality assurance, and data integrity checks to ensure accuracy, completeness, and consistency.\nDevelop and maintain data extraction, transformation, and loading (ETL) processes.\nAnalyze data to identify trends, patterns, anomalies, and actionable insights.\nDesign, develop, and maintain dashboards, reports, and visualizations to support business and operational decision-making.\nDefine, monitor, and report Key Performance Indicators (KPIs) and project performance metrics.\nCollaborate with business users, project teams, and technical teams to understand data requirements and reporting needs.\nSupport data modelling, data mapping, and data documentation activities.\nPrepare analytical reports, presentations, and recommendations for stakeholders.\nParticipate in requirement gathering, system testing, user acceptance testing (UAT), and validation of data outputs.\nEnsure compliance with data governance, security, privacy, and organizational policies and standards.\nSupport continuous improvement initiatives through data analysis and reporting.\n\nRequirements\nBachelor's Degree in Data Analytics, Data Science, Computer Science, Information Technology, Statistics, Mathematics, Engineering, or a related discipline.\nMinimum 3–5 years of experience in data analytics, business intelligence, reporting, or data management.\nExperience in large-scale ICT, digital transformation, or government projects is an added advantage.\nStrong analytical, problem-solving, and critical thinking skills.\nExcellent communication and stakeholder management skills.\n\nTechnical Skills\nProficiency in SQL for data extraction, manipulation, and analysis.\nExperience with Python or R for data analysis and automation.\nExperience with Microsoft Power BI, Tableau, Grafana, or similar Business Intelligence and data visualization tools.\nKnowledge of relational databases such as PostgreSQL, MySQL, SQL Server, Oracle, or equivalent.\nFamiliarity with ETL processes, data integration, and data warehousing concepts.\nUnderstanding of data quality management, metadata management, and data governance principles.\nFamiliarity with APIs, JSON, XML, CSV, and other structured data formats.\nExperience with cloud-based data platforms and analytics solutions is an added advantage.\n\nDeliverables\nData quality and validation reports.\nCleaned and standardized datasets.\nData extraction and transformation documentation.\nInteractive dashboards and management reports.\nKPI reports and analytical insights.\nData dictionaries and metadata documentation.\nAd hoc analytical reports to support project implementation and decision-making.\n\nPersonal Competencies\nStrong analytical and logical thinking.\nHigh attention to detail and accuracy.\nAbility to manage multiple priorities and work under tight deadlines.\nExcellent interpersonal and teamwork skills.\nSelf-motivated, proactive, and results-oriented.\nStrong written and verbal communication skills.\nHigh level of integrity and commitment to data confidentiality.","description_format":"text","description_chars":3699,"description_truncated":false,"requirements":{"experience_years_min":3,"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":["IT Consulting & Digital Transformation","Management 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