Azure Administrator - Data Engineering (6-12 yrs) (NuSecond Technologies)

Contract to hire position with one of the MNC Organization.

Location : Bangalore

Experience - 7 to 10 Years

Skills:- ADF, Azure Data Lake, Pyspark, Scala, Python, Azure Data Bricks, Kafka (All are Mandate and we need Project Experience)

Please find the below JD : -

- Should have experience in Azure services [e.g. Azure Data factory, Azure Data lake (Gen 2), Azure SQL, Blob Storage and Azure DevOps, ARM] - [Mandatory]

- Should have experience in Azure Databricks [PySpark], Databricks Delta, nice to have experience in Scala, Python - [Mandatory]

- Should have experience in Big Data Prod environment as we sometimes need to deploy asap and support existing Data projects in prod environment- [Mandatory]

- Should have hands on experience [Developer role] - [Mandatory]

- Nice to have experience in these areas (e.g calling Rest API for third party services, etc.)

- Nice to have experience in streaming technologies and good to have experience in Kafka (Confluent Kafka) as work is started on these areas as well.

- Experience building data pipeline by using Azure Big data stack

- Good to have experience in ETL processing, Data warehousing (for later point of view..).

- Good to have experience in Agile way of working

- Extensive ingesting, cleaning, transformation and aggregation of massive amounts of data from multiple internal and external sources (Salesforce, Google Analytics, etc.) by using Azure Services

- Create data pipeline that enable various systems within ecosystem to stream high volume data from multiple sources into central repository for processing

- Reporting at scale enabled by Databricks Delta for incremental processing

- Understanding of spark framework and tuning of spark applications Extensive experience with horizontally scalable and highly available system design and implementation, with focus on performance and resiliency

- Exposure to Data & Analytics, Cloud technologies

- Setup different cloud environments for Dev, QA and Prod

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