Line of Service
AdvisoryIndustry/Sector
TechnologySpecialism
Advisory - OtherManagement Level
Senior AssociateJob Description & Summary
We are looking for a Data Engineer (Support) with strong expertise in the Microsoft Azure Cloud ecosystem to ensure the smooth operation reliability and scalability of our data infrastructure. This role will focus on monitoring troubleshooting and optimizing data pipelines and Azure data services while collaborating with data teams to support analytics and business intelligence role requires a strong understanding of cloud data architecture hands-on experience with Azure data services (including Microsoft Fabric) and deep practical knowledge of Databricks for batch and data engineering.Key Responsibilities
Provide production support for Azure-based data pipelines data lakes and data warehouses.
Monitor and resolve data ingestion transformation and performance issues across Azure Data Factory Databricks Synapse and other services.
Manage and troubleshoot ETL/ELT processes ensuring data reliability and availability.
Implement and maintain data quality checks validation frameworks and alerting systems.
Collaborate with data engineers and business teams to analyze and fix data discrepancies.
Develop scripts or automation tools using Python or PowerShell to improve operational efficiency.
Participate in on-call rotations for incident management and escalation support.
Maintain detailed documentation of data workflows configurations and incident resolutions.
Suggest and implement process improvements to enhance reliability and reduce manual interventions.
Required Skills and Qualifications
Bachelors degree in Computer Science Information Systems or related field.
3 years of experience in data engineering data platform operations or production support.
Strong expertise in Microsoft Azure Cloud including:
Azure Data Factory (ADF)
Azure Synapse Analytics
Azure Databricks
Azure Data Lake Storage (ADLS)
Azure Monitor / Log Analytics / Application Insights
Proficiency in SQL for querying and debugging data issues.
Experience with Python or PowerShell for automation and data processing.
Familiarity with DevOps tools (Azure DevOps Git CI/CD pipelines).
Understanding of data modeling ETL concepts and data warehousing principles.
Strong problem-solving communication and incident management skills.
Preferred Qualifications
Azure certifications such as:
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Azure Administrator Associate (AZ-104)
Experience with Databricks job orchestration Delta Lake or Spark.
Familiarity with ITIL processes or structured incident/change management frameworks.
Experience supporting real-time data streaming using Azure Event Hubs or Kafka.
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior IC
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