Azure Data Engineer

2 days ago

Hyderabad, Telangana, India Tekskills Inc. Full time
Job Role: Azure Data Engineer

Job Location: Pune, MH/ Hyderabad, TS / Kolkata, WB/ Bangalore, KA/ Thane, MH/ Noida, UP

Work Mode: (Hybrid/WFO)

Skills Required: Azure Databricks, Azure Data Factory

Experience: 4-6+ Years

Job Description:

- Very strong hands-on experience in using Microsoft Azure services like Azure Data Factory, Data brick services (like processing streaming data using Spark clusters),
- usage of Blob containers, ESB, Event Grid, Azure SQL server, Cosmos DB, Azure functions, Analytics (like Power BI) is a mandatory requirement.
- Deep Microsoft Azure product knowledge and understanding of product features, with exposure to other cloud solutions (Google, AWS) a plus.
- Proven track record in designing, developing and implementing data modelling, at a conceptual, logical and physical level.
- Experience with accountability for E2E Data Architecture and Lifecycle (including non-functional requirements and operations) management.
- Understands industry recognised data modelling patterns and standards? Understands overall IT system design, in particular networking, authorization and authentication protocols, data security, disaster recovery.
- Knowledge of the latest technologies to process large amount of data (Apache Spark; Databricks is a plus)
- Experience in MDM, Metadata Management, Data Quality and Data Lineage tools.
- Expertise in cloud security and identity best practices
- A deep understanding of ETL and ELT tools and techniques
- Strong experience in architecting - complex solutions on the Microsoft Azure cloud stack [IaaS, PaaS and SaaS]
- Excellent understanding of architecture patterns and best practices with proven innovative and leading-edge thinking to build cloud-ready systems (e.g., Domain Driven Architecture, multi-tenancy, building for resilience, scalability, performance, and federation, microservices etc.)
- Hands-on work experience on application platforms like .Net, Python, Java etc. preferred
- The candidate should have experience in modeling data for traditional structured data, as well as information design in Data Lake and NoSQL database engines.
- Fluent with modelling, development and project execution processes around star, snowflake, 3NF, and Data Vault approaches.
- Good experience in working with data using SQLs, Python and Scala in Microsoft based resources like Azure Synapse and Data Lake.

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