Lead Data Engineer - R01569363

Brillio

Location: Bengaluru, Karnataka, India
Job type: Full-time

Required skills

Power BI
advanced analytics
Artificial Intelligence
Azure
batch data
compliance
cross-functional
data engineer
data lake
data modeling
DevOps
ETL
Kubernetes
Spark
SQL

About the role

Brillio

Website: brillio.com
Company: https://www.linkedin.com/company/brillio
Seniority: Not Applicable
Industries: Artificial Intelligence
Job details:
Lead Data Engineer

Primary Skills

AKS, Event Hub, Azure DevOps, Azure sentinel, Cosmos DB, Azure Functions

Specialization

Azure Data Engineering Advanced: Senior Lead Data Engineer

Job requirements

Experience Range: with at least 4 to 6 years of hands-on experience in data engineering, including substantial expertise in Azure analytics and pipeline development Key Responsibilities: 1. Design and implement scalable ETL processes using Azure Data Factory, Synapse Analytics, and Spark, delivering robust real-time and batch data feeds 2. Develop and optimize data pipelines and models for large-scale lakehouse and warehouse analytics systems, achieving high performance and reliability targets 3. Integrate and manage data sources from Azure Data Explorer, Kusto, and Delta Lake formats to enable advanced analytics and reporting capabilities 4. Configure and maintain cloud-hosted data architectures, leveraging Azure services to ensure secure, efficient, and resilient data operations 5. Collaborate with cross-functional teams to capture data requirements and drive test-driven, data-driven development methodologies 6. Monitor, troubleshoot, and enhance SQL performance, ensuring efficient query execution and maintaining data quality across all systems 7. Develop and maintain Power BI reports, focusing on data modeling and DAX to deliver actionable insights to stakeholders 8. Document technical business processes and data architecture, supporting organizational knowledge sharing and compliance Required Skills: 1. Azure Synapse Analytics 2. Azure Data Factory 3. Azure Data Explorer (Kusto) 4. Pyspark 5. Delta Lake 6. SQL performance tuning 7. Power BI (Data Modeling and DAX) 8. Azure Data Lake Preferred Skills: 1. Azure DevOps for CI/CD 2. AKS (Azure Kubernetes Service) 3. Event Hub 4. Azure Sentinel 5. Experience with large-scale streaming analytics Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a closely related discipline 2. Microsoft Certified: Azure Data Engineer Associate 3. Microsoft Certified: Azure Solutions Architect Expert Additional Information: Location: Bangalore

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Lead Data Engineer - R01569363

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