{"id":3861029,"url":"https://alion.io/job/mastek-data-engineerbi-developer-daa-4","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":{"grade":"A","score":88,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":28,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","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":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Git","optional":false},{"name":"Groovy","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"ServiceNow","optional":false},{"name":"SRE","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-06T09:24:58Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-07T04:58:48Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Title\nData Engineer / BI Developer - DA&A\nExpected Work Experience\n3 to 6 Years\nJob Location\nIndia\nJob Summary\nDesign and implement reusable, parameterized, secure, and idempotent onboarding modules and orchestration that coordinates them for data and analytics platforms. The engineer will consolidate existing automation, harden fragile components, expose manually triggered scripts, and automate remaining manual steps across application scaffolding, cloud resources, and Release Workflow integration, with a focus on Data Automation & AI and AWS DevOps tools such as X-Ray. Candidate must have relevant experience of 3 to 6 Years.\nKey Responsibilities\nDesign and implement reusable, parameterized, secure, and idempotent onboarding modules and the orchestration that coordinates them across data engineering and BI workflows.\nConsolidate existing automation, harden fragile components, expose manually triggered scripts, and automate remaining manual steps across application scaffolding, cloud resources, and Release Workflow integration.\nDeliver reusable application-scaffolding and cloud-resource modules with automated tests tailored to data pipelines, BI solutions, and analytics platforms.\nImplement Jenkins orchestration with parallel NonProd execution, state management, retries, resume capabilities, timing, and audit for data and BI onboarding flows.\nIntegrate Release Workflow for request, trigger, status, approvals, and evidence to support end-to-end onboarding of data and analytics applications.\nProvide diagnostics, telemetry, dashboard feeds, outcome summary data, documentation, and handover materials for stakeholders in DA&A.\nActivity discovery and automation triage\nPartner with SMEs to document current one-time and per-environment activities, dependencies, inputs, outputs, approval points, and failure modes for data pipelines and BI solutions.\nAssess existing scripts and pipelines for reuse; classify them as wrap, harden, expose, build, or human decision.\nCreate proof points early to validate that Release Workflow can invoke Jenkins or approved APIs and display run status for onboarding runs.\nReusable module engineering\nBuild application-scaffolding automation for repository creation from template, starter application setup with health check, configuration, and developer access for data and BI projects.\nIntegrate and harden existing Terraform modules for cloud resources while preserving the existing human cloud-approval step.\nCreate environment-parameterized modules driven by one configuration matrix rather than duplicated environment-specific code.\nImplement completion validation and automated tests for each module; ensure reruns do not create duplicate or conflicting resources.\nUse secure patterns for credentials, secrets, identity, least privilege, sensitive logging, and approved tool usage across data and analytics environments.\nOrchestration and workflow integration\nImplement the Jenkins onboarding orchestrator, dependency sequencing, run identifiers, state persistence, retries, resume from the failed step, and audit trail.\nRun one-time activities first, execute five NonProd environments in parallel, pause for production approval, and then coordinate Canary, Central, and East deployments where applicable.\nIntegrate the Release Workflow request form, trigger, status, cloud approval, production approval evidence, and outcome information.\nGenerate structured outcome data for dashboards and summary emails, including resources, links, results, failures, and recommended follow-ups.\nEngineering quality and transition\nWrite unit and component tests, support integration and failure-injection testing, remediate defects, and participate in peer reviews.\nDocument modules, configuration, dependencies, troubleshooting steps, operational controls, and known failure modes.\nContribute to weekly demos, gate evidence, runbooks, knowledge-transfer sessions, code handover, launch, and warranty defect resolution.\nOther Capabilities\nAbility to work independently in a customer environment and collaborate effectively with distributed US and India stakeholders.\nStrong focus on engineering telemetry, observability, and auditability for data and BI onboarding processes.\nComfortable working across Data Automation & AI initiatives and AWS DevOps tooling, including X-Ray, in complex enterprise environments.\nStrong problem-solving skills with the ability to triage issues across pipelines, infrastructure, and workflow integrations.\nClear communication skills for explaining automation designs, onboarding flows, and operational impacts to technical and non-technical stakeholders.\nQualifications and Skills\n5-9 years in DevOps, cloud automation, platform engineering, or site reliability engineering.\nHands-on delivery experience with Jenkins pipelines and shared libraries, Terraform, Azure/AKS, REST APIs, scripting, and Git-based workflows.\nExperience building production-grade automation with tests, logging, error handling, retries, state management, and rollback or recovery strategies.\nBachelor’s degree in a technical discipline or equivalent practical experience.\nMandatory technical competency in advanced Jenkins pipeline development using declarative and scripted pipelines, shared libraries, credentials, parameters, artifacts, and reusable templates.\nStrong Terraform module integration, remote-state and state-safety concepts, plan/apply controls, approval gates, drift awareness, and idempotent provisioning.\nAzure and AKS fundamentals: resource hierarchy, identity and RBAC, networking awareness, Kubernetes resources, namespaces, service accounts, ingress and configuration, and health probes.\nProficiency in Python, PowerShell, Bash, or Groovy for API integration and automation wrappers.\nAPI integration for request ingestion, status updates, evidence exchange, and orchestration triggers.\nEngineering telemetry skills: structured logs, run IDs, step timings, failure classification, actionable diagnostics, and audit records.\nExperience with enterprise release workflow tools, ServiceNow-style integrations, or custom developer portals is preferred.\nExperience creating repository templates, starter applications, access automation, and configuration generators is an advantage.\nAzure DevOps Engineer Expert, Terraform Associate, CKA/CKAD, or comparable certification is desirable.\nExperience with contract and schema validation, policy-as-code, secrets management, or automated evidence packs is beneficial.\nExposure to Data Automation & AI and AWS DevOps & Developer Tools such as X-Ray is highly valued.","description_format":"text","description_chars":6584,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-11-06T09:24:58Z"}],"visa":[],"liveness":{"score":99,"band":"hot","label":"Hiring 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