Senior Data Engineer
HCL Technologies Limited
We are seeking a hands-on Senior Data Engineer to lead the development, support, and continuous improvement of our Azure-based data platform. This role combines data engineering, platform operations, and technical leadership, ensuring reliable, scalable, and high-performing data solutions across the enterprise.Key Responsibilities
Design, build, and support scalable data pipelines using Azure Databricks, PySpark, Python, and SQL.Develop and maintain data ingestion, transformation, and orchestration solutions across the Azure data ecosystem.Provide production support, incident resolution, root cause analysis, and platform monitoring.Implement integrations with Braze and other downstream data consumers.Drive platform reliability through automation, observability, CI/CD, and operational best practices.Partner with architects, product teams, and stakeholders to deliver data platform enhancements.Lead technical delivery, code reviews, and engineering standards while coordinating offshore development teams.Contribute to cloud infrastructure, Infrastructure-as-Code, and platform optimization initiatives.Required Skills & Experience
6+ years of experience in Data Engineering and Data Platform delivery.Strong expertise in:PythonSQLAzure DevOps and CI/CDExperience supporting enterprise-scale data platforms in production environments.Strong troubleshooting, performance tuning, and operational support skills.Experience leading technical delivery and collaborating with offshore teams.Excellent communication and stakeholder management skills.Preferred Qualifications
Terraform or Bicep (Infrastructure as Code).Azure platform engineering and cloud infrastructure experience.Monitoring and observability tools (Azure Monitor, Log Analytics, Splunk, Dynatrace, etc.).Production release management and platform operations experience.Experience with Braze, Martech, or Customer Data Platforms (CDP).Nice to Have
Event-driven and streaming architectures.Data quality, governance, and observability frameworks.
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Design, build, and support scalable data pipelines using Azure Databricks, PySpark, Python, and SQL.Develop and maintain data ingestion, transformation, and orchestration solutions across the Azure data ecosystem.Provide production support, incident resolution, root cause analysis, and platform monitoring.Implement integrations with Braze and other downstream data consumers.Drive platform reliability through automation, observability, CI/CD, and operational best practices.Partner with architects, product teams, and stakeholders to deliver data platform enhancements.Lead technical delivery, code reviews, and engineering standards while coordinating offshore development teams.Contribute to cloud infrastructure, Infrastructure-as-Code, and platform optimization initiatives.Required Skills & Experience
6+ years of experience in Data Engineering and Data Platform delivery.Strong expertise in:PythonSQLAzure DevOps and CI/CDExperience supporting enterprise-scale data platforms in production environments.Strong troubleshooting, performance tuning, and operational support skills.Experience leading technical delivery and collaborating with offshore teams.Excellent communication and stakeholder management skills.Preferred Qualifications
Terraform or Bicep (Infrastructure as Code).Azure platform engineering and cloud infrastructure experience.Monitoring and observability tools (Azure Monitor, Log Analytics, Splunk, Dynatrace, etc.).Production release management and platform operations experience.Experience with Braze, Martech, or Customer Data Platforms (CDP).Nice to Have
Event-driven and streaming architectures.Data quality, governance, and observability frameworks.
#J-18808-Ljbffr
Vacancy posted 3 hours ago
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