{"id":1671992,"url":"https://alion.io/job/sciente-international-data-engineer-analytics-engineer-jd11356","title":"Data Engineer/ Analytics Engineer (JD#11356)","company":{"id":3802166,"name":"Sciente International","domain":"sciente.com","url":"https://alion.io/company/sciente-international","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data 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technologies.\nMandatory Skill-set\nDegree in Computer Science, Data Analytics, Information Technology and related discipline;\n3–6 years of experience in Data Engineering, Analytics Engineering, Data Warehousing, or related areas;\nStrong hands-on experience with SQ;\nGood working knowledge of Python for data processing and automation;\nStrong understanding of dimensional data modelling, including: Star schemas, Fact tables, Dimension tables, Data marts, Star schemas, Fact tables, Dimension tables, Data marts;\nHands-on experience with dbt or an equivalent data transformation framework;\nExperience with at least one workflow orchestration tool, such as: Apache Airflow, Cloud Composer, Equivalent orchestration platforms;\nGood understanding of ETL/ELT concepts and data warehousing;\nUnderstanding of semantic layers, business metrics, and reusable business logic;\nKnowledge of software engineering best practices, including: Git/version control, Code reviews, Unit and data testing, CI/CD;\nAbility to troubleshoot data quality, pipeline, and transformation issues independently.\nDesired Skill-set\nExperience working with Google Cloud Platform (GCP);\nExperience with cloud data platforms and cloud-native data engineering solutions.\nResponsibilities\nDesign, develop, and maintain data pipelines and analytical datasets;\nDevelop and optimize SQL-based transformations and data models;\nBuild and maintain dimensional data models, including fact tables, dimension tables, star schemas, and data marts;\nDevelop data transformation workflows using dbt or equivalent frameworks;\nDevelop and manage workflows using Airflow, Cloud Composer, or equivalent orchestration tools;\nImplement reusable business logic and common business metrics;\nSupport the development and maintenance of semantic and analytical layers;\nImplement data quality checks, testing, validation, and monitoring;\nInvestigate and resolve data, pipeline, and transformation issues;\nIdentify root causes of data issues and implement appropriate corrective actions;\nFollow software engineering best practices, including Git, code reviews, testing, documentation, and CI/CD;\nWork closely with Data Engineers, Analytics Engineers, Developers, Analysts, and Business Stakeholders;\nUnderstand existing legacy/.NET business processes and support their migration, redesign, or modernization;\nContribute to the adoption of modern cloud-based data engineering and analytics practices;\nEnsure data solutions are reliable, scalable, maintainable, and reusable;\nSupport BI and reporting requirements by providing trusted and well-structured analytical datasets.\nShould you be interested in this career opportunity, please send in your updated resume to  at the earliest.\nWhen you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).\nConfidentiality is assured, and only shortlisted candidates will be notified for interviews.\nEA Licence No. 07C5639\nSkills\nDesign, Airflow, Data Modelling, Data Pipeline, AWS, Data Transformation, Big Data Analytics, ETL, Workflow Development, Data Engineering, DBT, SQL, Python, Data Marts, Semantic Layer, Dimensional Modeling, GCP, Orchestration, Data Warehousing, Testing","description_format":"text","description_chars":3895,"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":[],"lifecycle":[{"event":"open","at":"2026-10-02T06:07:37Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely 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