Current Openings

Senior Project Manager – Azure DevOps Delivery (CPQ/PLM Programs)

Overview

We are seeking a skilled Azure DevOps / Data Support Engineer to manage and optimize data pipelines, streaming analytics, and cloud-based integration services. The ideal candidate will have hands-on experience with Microsoft Azure data services, strong troubleshooting skills, and a proactive approach to monitoring and data operations.

Key Responsibilities

  • Develop, monitor, and maintain data ingestion, transformation, and integration pipelines within Azure Data Factory (ADF) and Azure Data Explorer (ADX).
  • Create and optimize KQL queries for performance tuning and analytics.
  • Manage Azure Blob Storage operations, including automation using AzCopy for large-scale data movement.
  • Build and maintain real-time data streaming and processing solutions using Azure Stream Analytics, Azure Functions, and Kafka.
  • Configure and support Logstash pipelines for data ingestion and transformation from various sources.
  • Collaborate with DevOps and Data Engineering teams to ensure reliable CI/CD processes for data workloads.
  • Troubleshoot production issues, implement monitoring, and support incident resolution.
  • Maintain system documentation, standard operating procedures, and knowledge base articles.

Must Have Skills

  • Proficiency in Microsoft Azure ecosystem — especially:
    o Azure Data Factory (ADF)
    o Azure Data Explorer (ADX) and Kusto Query Language (KQL)
    o Azure Blob Storage and AzCopy for data management
    o Azure Stream Analytics, Azure Functions
  • Experience with Kafka (producers, consumers, topics, partitions, etc.)
  • Hands-on experience with Logstash configuration and troubleshooting.

Nice to Have

  • Familiarity with Google Cloud Platform (GCP) and BigQuery for cross-cloud data operations.
  • Exposure to Datadog for performance monitoring and observability.
  • Experience with CI/CD pipelines and infrastructure as code (IaC) (e.g., Terraform, ARM templates, or Bicep).

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