Lead/ Senior Azure Data Engineer_ Exp: 8+ Years
Atyeti Inc
- Location
- Mumbai, Maharashtra, India
- Job type
- Full-time
Required skills
- Python
- Power BI
- Apigee
- Azure
- big data technologies
- capacity planning
- data lake
- data solutions
- data visualization
- Databricks
- DevOps
- SQL
- SDLC
About the role
Atyeti Inc
Website:
atyeti.com
Job details:
- Lead data engineering projects to build and operationalize data solutions for business using Azure services in combination with custom solutions – Azure Data Factory, Azure Data Flows, Azure Databricks, Azure Data Lake Gen 2, Azure SQL etc
- Proven experience on leading a team of data engineers providing technical guidance and ensuring alignment with agreed architectural principles
- Experience in migrating on-premise data warehouses to data platforms on AZURE cloud
- Designing and implementing data engineering, ingestion and transformation functions using ADF, Databricks
- Proficient in Py-Spark
- Experience in building Python based APIs on Azure Function Apps
- Experience on Azure Logic apps
- Experience in Lakehouse/Datawarehouse implementation using modern data platform architecture
- Capacity Planning and Performance Tuning on ADF & Databricks pipelines
- Support data visualization development using Power BI
- Exposure across all the SDLC process, including testing and deployment
- Experience in relational and dimensional modelling, including big data technologies
- Experience in Azure DevOps – Build CI/CD pipelines for ADF, ADLS, Databricks, Azure SQL DB etc
- Experience of working in secured Azure environments using Azure KeyVaults, Service Principals, and Managed Identities
- Good to have knowledge on Apigee (Googles API Management)
- Understanding of data masking, encryption and other practices used in handling sensitive data
- Ability to interact with Business for requirement gathering and query resolutions
- Working on off shore office based development teams, collaborating within a team environment and participating in typical project lifecycle activities such as requirement analysis, testing and release
- Develop Azure Data skills within the team through knowledge sharing sessions, articles, etc.
- Adherence to organisations Risk & Controls requirements
- Should have skills for Stakeholder management, process adherence, planning & documentationss
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