{"id":3084478,"url":"https://alion.io/job/mastek-data-engineerbi-developer-daa-2","title":"Data Engineer/BI Developer-DA&A","company":{"id":59435,"name":"Mastek","domain":"mastek.com","url":"https://alion.io/company/mastek","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":28000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":13},"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-22T13:15:14Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-23T01:58:45Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title\nOffshore AI & Automation SME - Data Engineer/BI Developer (DA&A)\nExpected Work Experience\n1 to 4 Years\nJob Location\nIndia\nJob Summary\nThe AI & Automation SME - Data Engineer/BI Developer (DA&A) will design, develop, and implement AI-driven and automation solutions to improve MDM operations, data stewardship activities, support processes, and overall operational efficiency. Candidate must have relevant experience of 1 to 4 Years. The role focuses on leveraging data automation and AI, including AI test automation with Opkey and related tools, to enhance data management, analytics, and operational workflows in a scalable and reliable manner.\nKey Responsibilities\nDevelop AI-powered solutions for MDM operations and support processes.\nIdentify automation opportunities across data management workflows and DA&A processes.\nDesign intelligent monitoring and alerting frameworks to track data quality, system performance, and process health.\nImplement GenAI, ML, and NLP-based use cases for data quality and stewardship to improve accuracy, consistency, and completeness of data.\nBuild automated incident resolution and recommendation engines to reduce manual intervention and improve response times.\nDevelop dashboards and analytics for operational insights, enabling data-driven decision-making for MDM and DA&A stakeholders.\nCollaborate with MDM, CDI, and CDQ teams to improve productivity and streamline cross-functional data processes.\nDrive innovation initiatives related to data management automation, AI test automation, and advanced analytics.\nWork with Data Engineer/BI Developer teams to integrate AI and automation solutions into existing data pipelines, BI reports, and analytics platforms.\nSupport AI test automation initiatives using Opkey or similar tools to ensure robustness and reliability of AI and data automation solutions.\nEnsure solutions follow best practices in data engineering, security, performance, and maintainability.\nDocument solution designs, workflows, and operational procedures for ongoing support and knowledge sharing.\nOther Capabilities\nAbility to work effectively in offshore, distributed, and cross-functional teams.\nStrong communication skills to collaborate with business, data, and technology stakeholders.\nProactive mindset to identify improvement opportunities in MDM, DA&A, and automation processes.\nAdaptability to learn and work with new AI, automation, and data technologies as needed.\nFocus on operational excellence, continuous improvement, and innovation in data management and analytics.\nQualifications and Skills\nHands-on experience in AI, Machine Learning, and Automation solutions.\nExperience building GenAI-based enterprise applications and integrating them into data workflows.\nKnowledge of MDM processes and the data management lifecycle, including data stewardship and data quality practices.\nExperience with Python, APIs, workflow automation, and cloud platforms (such as Azure or similar).\nStrong analytical and problem-solving capabilities, with the ability to translate business requirements into AI and automation solutions.\nFamiliarity with data engineering concepts, BI development, and DA&A practices.\nExperience with AI test automation, preferably using Opkey or similar automation tools.\nPreferred: Experience with Informatica CLAIRE AI.\nPreferred: Knowledge of Informatica MDM, CDI, and CDQ.\nPreferred: Experience with Azure AI, 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