Lead Azure Cloud Data Engineer

5 days ago

Noida, Uttar Pradesh, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Opportunity

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.

We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Key Responsibilities:
  • Design and implement highly available and scalable Azure cloud data solutions that meet business requirements.
  • Collaborate with cross-functional teams to design and implement solutions that meet business requirements.
  • Participate in the testing process through test review and analysis.
  • Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational non-relational databases for data access and Advanced Analytics.
Required Skills and Qualifications:
  • 5-8 years of experience as an Azure data engineer.
  • Strong experience with Azure cloud technologies such as Azure Data Bricks, Lake house architecture, DataLake, Cosmos DB, Eventhub, Servicebus, Topic, blob storages, azure functions, AKS, key Vault.
  • Experience with data transformation and manipulation using Azure Databricks or similar tools.
  • Solid scripting experience with Python, Pyspark.
  • Experience with streaming data platforms - Kafka.
  • Good working knowledge with Azure Infrastructure.
  • Experience on data integrations with APIs.
  • Experience working in an Agile development environment.
  • Working knowledge of CI/CD tools and concepts - Azure Pipelines, Github actions, Workflow.
  • Architect data ingestion solutions such as ETL, ELTs on a wide set of data storage solutions.
  • Independent and able to manage and prioritise workload.
  • Ability to guide or lead junior resources to get desired project results.
  • Advanced troubleshooting skills to drive to root cause.
  • Ability to manage ambiguity and solve undefined problems.

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