• Phone: +1-425-502-5094
  • info@deevita.com

Azure Data Engineer (Sign on Bonus Available)

Education: B.E/ B. Tech, M.E/M. Tech.

Required years of Related Experience: 3 -5 years

Preferred Domain Experience: Supply Chain, Digital & Analytics.

Location: Bangalore

Job Description

We at Deevita Technologies helping organizations around the world to make data-driven decisions by delivering solutions based on data, analytics, and cloud technologies. We aim to take the organizations through necessary Digital transformation that will help them to tackle business challenges in a more efficient manner and enable them to reach their goals.

We are looking for an Azure Data Engineer who will be responsible for building data pipelines for data ingestion, storage, processing & transformation, and visualization, etc. The candidate should have sound experience with Microsoft Azure technology such as Data Factory, Data Lake Store, Store BLOBs, Data Bricks, Azure SQL DB, etc. The candidate will be responsible for implementing ETL pipelines, automating the execution of pipelines, and deploying it.

Roles/Responsibilities:

  • Build production data pipelines for data ingestion, storage, processing & transformation, and visualization.
  • Design and develop new solutions on the Azure Platform specifically for Azure Data Factory, Data Lake Store, Blob Storage, Data Bricks, Azure
    SQL DB/ Data Warehouse.
  • Implement ETL pipelines, automating the execution of pipelines, and deploying it.
  • Create connections to extract data from cloud data sources in Azure Data Factory
  • Automate Azure Data Factory pipelines.
  • Create workbooks in Azure Data Bricks to build Python/SQL scripts.
  • Develop data set processes for data modeling, mining, and production, and leverage large volumes of data.
  • Create Complex Data Pipelines in ADF.
  • Write stored procedures, SQL/TSQL queries on large data sets.
  • Build visualization cards to represent data in understandable ways using Tableau/Power BI.
  • Implement big data real-time processing and integration solutions.
  • Identify ways to improve data reliability, efficiency, and quality.
  • Identify, design, develop and test database architectures, and largescale processing solutions.

Required Knowledge, Skills, and Abilities (Uncompromised requirements for the role):

  • A minimum of a bachelor’s degree in Computer Engineering/IT is required.
  • A minimum of 3 years of experience in Data Engineering using Microsoft Azure technologies.
  • Good experience with ADF, Data Lake Store, Store BLOBs, Data Bricks, Azure SQL DB.
  • Strong experience to implement ETL pipelines, automating the execution of pipelines, and deploying it.
  • Experience with Analysis Services.
  • Experience in creating Complex Data Pipelines in ADF.
  • Good Knowledge of Tableau.
  • Hands-on experience in Data Bricks, PySpark.

Preferred Knowledge, Skills and Abilities:

  • Having Azure Certification.
  • Experience in Python.