ETIC, Data Engineer Support, Senior Associate
PricewaterhouseCoopers
Employer Active
Posted 12 hrs ago
Send me Jobs like this
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
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
Bachelor s 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.
Desired Candidate Profile
Required Skills and Qualifications
Bachelor s 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.
Company Industry
- Accounting & Auditing
Department / Functional Area
- IT Software
Keywords
- ETIC
- Data Engineer Support
- Senior Associate
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@naukrigulf.com