Data Governance Engineer (Azure Purview) Brillio

5.0 - 9.0 years

0 Lacs

karnataka

On-site

As a Lead Data Engineer specializing in Data Governance with expertise in Azure Purview, your key responsibilities will include designing and implementing data governance policies, standards, and procedures to guarantee data quality, consistency, and security. You will be tasked with identifying, analyzing, and resolving data quality issues across various data sources and platforms. Collaboration with cross-functional teams to enforce data governance structures and ensure adherence to policies and standards will be a crucial aspect of your role. Your role will also involve implementing and maintaining monitoring systems to track data quality, compliance, and security. Proficiency in data modelling, data warehousing, ETL processes, and data quality tools is essential. Familiarity with data governance tools like Azure Purview will be beneficial in executing your duties effectively. Ensuring that data is safeguarded and complies with privacy regulations through the implementation of appropriate access controls and security measures will be a top priority. You will also be responsible for facilitating data stewardship activities and providing guidance to data stewards on best practices in data governance. Leveraging Azure OneLake and Azure Synapse Analytics, you will design and implement scalable data storage and analytics solutions that support big data processing and analysis. Your expertise in these areas will be instrumental in meeting the data processing and analysis requirements of the organization.,

Posted 2 days ago

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azure data engineer with fabric ASV Consulting Services

6.0 - 10.0 years

8 - 12 Lacs

Pune, Gurugram, Bengaluru

Work from Office

Contractual Hiring manager :- My profile :- linkedin.com/in/yashsharma1608 Payroll of :- https://www.nyxtech.in/ 1. AZURE DATA ENGINEER WITH FABRIC The Role : Lead Data Engineer PAYROLL Client - Brillio About Role: Experience 6 to 8yrs Location- Bangalore , Hyderabad , Pune , Chennai , Gurgaon (Hyderabad is preferred) Notice- 15 days / 30 days. Budget -15 LPA AZURE FABRIC EXP MANDATE Skills : Azure Onelake, datapipeline , Apache Spark , ETL , Datafactory , Azure Fabric , SQL , Python/Scala. Key Responsibilities: Data Pipeline Development: Lead the design, development, and deployment of data pipelines using Azure OneLake, Azure Data Factory, and Apache Spark, ensuring efficient, scalable, and secure data movement across systems. ETL Architecture: Architect and implement ETL (Extract, Transform, Load) workflows, optimizing the process for data ingestion, transformation, and storage in the cloud. Data Integration: Build and manage data integration solutions that connect multiple data sources (structured and unstructured) into a cohesive data ecosystem. Use SQL, Python, Scala, and R to manipulate and process large datasets. Azure OneLake Expertise: Leverage Azure OneLake and Azure Synapse Analytics to design and implement scalable data storage and analytics solutions that support big data processing and analysis. Collaboration with Teams: Work closely with Data Scientists, Data Analysts, and BI Engineers to ensure that the data infrastructure supports analytical needs and is optimized for performance and accuracy. Performance Optimization: Monitor, troubleshoot, and optimize data pipeline performance to ensure high availability, fast processing, and minimal downtime. Data Governance & Security: Implement best practices for data governance, data security, and compliance within the Azure ecosystem, ensuring data privacy and protection. Leadership & Mentorship: Lead and mentor a team of data engineers, promoting a collaborative and high-performance team culture. Oversee code reviews, design decisions, and the implementation of new technologies. Automation & Monitoring: Automate data engineering workflows, job scheduling, and monitoring to ensure smooth operations. Use tools like Azure DevOps, Airflow, and other relevant platforms for automation and orchestration. Documentation & Best Practices: Document data pipeline architecture, data models, and ETL processes, and contribute to the establishment of engineering best practices, standards, and guidelines. C Innovation: Stay current with industry trends and emerging technologies in data engineering, cloud computing, and big data analytics, driving innovation within the team.C

Posted 1 month ago

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