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naukri

Senior Data Platform Engineer

BlackStone eIT
Dubai, UAE
Senior
3 months ago
Cloud ComputingInfrastructure as Code (IaC)CI/CDKubernetesDockerAnsible
Free

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Cloud ComputingInfrastructure as Code (IaC)CI/CD
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Key Responsibilities

  • Design, build, and maintain scalable data platforms to support diverse data workloads.
  • Develop and optimize ETL/ELT pipelines to ensure efficient data movement and transformation.
  • Collaborate with cross-functional teams to translate business requirements into technical solutions.
  • Ensure data platform security, governance, and compliance with relevant regulations.
  • Monitor platform performance, troubleshoot issues, and implement improvements.
  • Provide technical leadership and mentorship to junior data engineers.
  • Stay updated with the latest trends and technologies in data platform engineering.
  • - Platform architecture: pipeline design patterns, orchestration strategy, infrastructure-as-code, monitoring stack
  • - Enterprise data extraction: SAP FI/CO (budget, actuals, commitments via OData/RFC), Microsoft Graph API (SharePoint, M365), SuccessFactors OData API you own the extraction approach and build the first pipelines yourself
  • - Staging layer design: PostgreSQL staging schema, raw-to-clean transformation patterns, refresh strategies
  • - Ingestion observability: logging standards, alerting on failures, monitoring dashboards for pipeline health
  • - Data quality framework: defining quality checks, deciding what pauses a pipeline vs. what triggers a warning
  • - Classification enforcement: working with the Governance Lead to embed automated classification tagging into every pipeline
  • - Technical mentorship: setting standards and reviewing work for the Senior Data Platform Engineer

• Required Skills & Technologies

  • - SAP data extraction: OData services, RFC/BAPI, SAP Data Services, or CDS views hands-on experience pulling data from SAP FI/CO modules
  • - Python async data pipelines, background jobs, scheduled tasks
  • - PostgreSQL schema design, migrations (Alembic), query optimization, partitioning
  • - Azure Data Lake Storage + Synapse Analytics
  • - Microsoft Graph API SharePoint, M365, organizational data
  • - Apache Airflow or Azure Data Factory
  • - dbt or equivalent for transformation and quality testing
  • - Redis queue management, TTL, cache invalidation
  • - Observability structured logging, Azure Monitor or Prometheus/Grafana
  • - Docker containerized pipeline jobs
  • - Infrastructure-as-code (Terraform or equivalent)

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