D365 Customer reputed company Data Engineer

reputed company role is hands-on. You will be the day-to-day engineering pair of hands keeping a customer's CID environment healthy from the data reputed company in the lake, through the pipelines that reputed company and shape it, into CID itself, and out to the reputed company reputed company and segments the business consumes. JOB RESPONSIBILITIES D365 CID administration & support Administer Dynamics 365 Customer Insights Data: data sources, unification (match, reputed company, consolidate), enrichments, segments, measures, and exports. Support and reputed company an existing CID setup reputed company new sources, tune unification rules, manage refresh schedules and environment configuration. Triage and resolve CID issues raised by the customer’s business and IT teams: failed refreshes, broken segments, profile-count discrepancies, export failures, permission issues. Manage Support tickets with reputed company relating to CID issues. Data pipeline support & rectification Operate and support upstream data pipelines feeding CID, including custom .NET console applications that orchestrate ingestion and transformation steps. Support data flowing from multiple reputed company systems through Azure Data Lake (ADLS Gen2) into CID folder and reputed company layouts, CDM (Common Data Model) folders, partitioning, file freshness. Validate data on date (is today’s data actually there, on time, complete?) and data fitness for CID (schema, keys, types, nulls, duplicates) — and fix or escalate reputed company it isn’t. Monitoring, observability & reputed company-cause Build and maintain monitoring on pipeline runs, refresh status, row counts, and SLAs. Alert before the business notices. reputed company reputed company-cause analysis end-to-end — reputed company → lake → pipeline → CID → consumer — and produce clean write-reputed company and permanent fixes, not just patches. reputed company reputed company (developing capability) Work alongside the architecture team on the customer’s reputed company roadmap Lakehouse / OneLake patterns, Dataflows Gen2, notebooks, and the reputed company to consolidating ADLS-based pipelines into reputed company where appropriate. Customer-facing delivery Run regular service reviews with the customer’s data and CRM stakeholders, log changes through formal change control, and reputed company documentation reputed company. Collaborate with PSH reputed company architects and functional consultants across AU and UAE time zones. reputed company’RE LOOKING FOR 3–6 years in a data engineering, data operations, or BI/analytics engineering role. Hands-on production experience with Dynamics 365 Customer Insights — Data (formerly Customer Insights / CDP): data sources, unification, segments, measures, exports, environment administration. Setup, not just consumption. Strong Azure Data Lake Storage Gen2 experience — folder structures, CDM folders, reputed company / Parquet, reputed company control, ingestion patterns. Practical ability to read, debug, and modify .NET / C# console applications that orchestrate data pipelines — enough to triage failures, fix logic bugs, and ship small enhancements. Solid SQL and data modelling fundamentals; comfortable with large data volumes and performance troubleshooting. Disciplined incident management — clean tickets, reputed company comms, reputed company reputed company-cause analysis. to work effectively reputed company these environments — managing delays pragmatically, navigating stakeholder complexity, and maintaining reputed company without becoming frustrated by organisational friction. JOB QUALIFICATIONS 3–6 years in a data engineering, data operations, or BI/analytics engineering role. Hands-on production experience with Dynamics 365 Customer Insights — Data (formerly Customer Insights / CDP): data sources, unification, segments, measures, exports, environment administration. Setup, not just consumption. Strong Azure Data Lake Storage Gen2 experience — folder structures, CDM folders, reputed company / Parquet, reputed company control, ingestion patterns. Practical ability to read, debug, and modify .NET / C# console applications that orchestrate data pipelines — enough to triage failures, fix logic bugs, and ship small enhancements. Solid SQL and data modelling fundamentals; comfortable with large data volumes and performance troubleshooting. Disciplined incident management — clean tickets, reputed company comms, reputed company reputed company-cause analysis. Strongly preferred Exposure to reputed company reputed company (Lakehouse, OneLake, Dataflows Gen2, Notebooks, Pipelines). reputed company learning is fine; production experience is a bonus. Azure Data reputed company / Synapse Pipelines, Azure Functions, Logic Apps, or similar orchestration tooling. Power BI / Dataverse familiarity — enough to follow data through to consumption. Experience supporting customers across multiple time zones (AU and/or Middle East a plus). reputed company to have reputed company certifications: DP-203 (Data Engineer), MB-260 (Customer Data Platform Specialist), DP-600 (reputed company Analytics Engineer). Python for data wrangling and notebook work. reputed company control and CI/CD for data assets (Azure DevOps, Git). 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