Azure Data Engineer With Databricks

Department Icon Data Science Analytics & Machine Learning
Posted: 1 year ago
9-13 years
All India
Data Science Analytics & Machine Learning
Work from Office
Full Time

Posted: 1 year ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

    You have a great opportunity for a Full-time, Permanent position requiring 9+ years of experience in Perform Design, Development & Deployment using Azure Services. Your role will involve developing and maintaining scalable data pipelines, building new Data Source integrations, and creating Technical Specification Design and Application Interface Design. You should have experience in processing XML, CSV, Excel, ORC, and Parquet file formats, along with developing batch processing, streaming, and integration solutions for Structured and Non-Structured Data. It would be beneficial if you have experience in ETL development using SSIS, Data Factory, and related Microsoft and other ETL technologies (Informatica preferred).

    Your expertise with Azure Data Factory, Azure Databricks, PySpark, and ADLS is crucial, as you will configure and administrate all aspects of Azure SQL DB. Collaboration with BI & analytics and business teams is essential, along with a deep understanding of operational dependencies of applications, networks, systems, security, and policy in both on-premise and cloud environments.

    In terms of location, Pune and Hyderabad are preferred. The job involves a Fixed shift schedule. Additionally, you may be required to attend a face-to-face interview on 2nd Aug in either Hyderabad or Pune office.

    Qualifications Required:

    • 9+ years of total experience
    • Experience with Azure data services
    • Experience with Azure Databricks
    • Experience with PySpark
    • Experience with SQL

    Please share your current and preferred location, current CTC, expected CTC, notice period/LWD, and your comfort level with attending a face-to-face interview on 2nd Aug in either Hyderabad or Pune office. If you have already applied in Birlasoft, please ignore this opportunity.,

Skills

EtlAnalyticsSqlData EngineerPySparkInformaticaSQLDatabricksETLSSISAzure Data Lake StorageAzure Data FactoryBI AnalyticsAzure SQL DB

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