Overall, 7 to 9 years of experience in cloud data and analytics platforms such as AWS, Azure, or GCP Including 3+ years experience with Azure cloud Analytical tools is a must Including 5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing Including 3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation Advanced knowledge of cloud technologies and services, specifically around Azure Data Analytics tools o Azure Functions (Compute) o Azure Blob Storage (Storage) o Azure Cosmos DB (Databases) o Azure Synapse Analytics (Databases) o Azure Data Factory (Analytics) o Azure Synapse Serverless SQL Pools (Analytics) o Azure Event Hubs (Analytics- Realtime data) Strong coding skills in languages such as o SQL o Python o PySpark Experience in data streaming technologies such as Kafka or Azure Event Hubs Experience in handling unstructured streaming data is highly desired Knowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions Broad understanding of data engineering methodologies and tools, including Data warehousing, DevOps/DataOps, Data ingestion, ELT/ETL and Data visualization tools Knowledge of database management systems, data modelling, and data warehousing best practices Experience in software development on a team using Agile methodology Knowledge of data governance and security practices
Experience
7 - 12 Years
No. of Openings
10
Education
B.Ed, B.E, B.Tech, M.Ed, M.Tech
Role
Cloud Engineer
Industry Type
IT-Hardware & Networking / IT-Software / Software Services
Gender
[ Male / Female ]
Job Country
India
Type of Job
Full Time
Work Location Type
Work from Office
Face interview location
Bangalore