3i Infotech Hiring Drive 2024 For Azure Data Engineer | Location Hyderabad

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3i Infotech Hiring Drive 2024: 3i Infotech Hiring Drive 2024 for its Azure Data Engineer. 3i Infotech Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a bachelor’s degree or equivalent work experience in Computer Science, Management Information Systems (MIS), Information Technology (IT), or a related field. if you are interested, please apply as soon as possible.

Company Name: 3i Infotech 

Role: Azure Data Engineer

Location: Hyderabad

Experience: 3+ Years

Qualification: bachelor’s degree or equivalent work experience in Computer Science, Management Information Systems (MIS), Information Technology (IT), or a related field

Batch: Any

Job Type: Full Time

Salary: 5.0 to 8.5 LPA (Expected)

3i Infotech Hiring Drive 2024 

Job Description:

  • The data engineer is responsible for designing, developing, implementing, and supporting data warehouse, data lake, and cloud data solutions that support company data & analytical needs.

Requirements:

  • Priority on Azure Databricks with Python/SQL leveraged for Data Engineering (Data Transformation) for BI and analytics.
  • Bachelor’s degree or equivalent work experience in Computer Science, Management Information Systems (MIS), Information Technology (IT), or related field
  • 3+ years of experience with ETL technologies and techniques. 
  • 3+ years of experience with Microsoft Azure Data Factory, Databricks, ADLS, DevOps and database solutions.
  • 3+ years of experience in Structured Query Language (SQL) programming, Python, PySpark, Spark SQL.
  • Understanding of Dimensional Modeling (Kimball, Star Schema, ErWin)
  • Understanding of Job Scheduling for data engineering.
  • Working knowledge of tools such as Power BI, Tableau, MicroStrategy, Business Objects, DAX, and Power Query
  • Strong analytical skills, detail oriented, and organized
  • Strong communication skills and self-motivated

Responsibility:

  • Consult with business counterparts to understand new data requirements. 
  • Collaborate with senior engineers and architects to understand requirements and review designs.
  • Develop, test, and implement Extraction, Transform and Load (ETL) processes to acquire and load data from internal and external sources to the data lake or data warehouse to be used for analytical purposes.
  • Monitor and support ETL jobs. Research poor performing ETL jobs and collaborate with database administers and other resources to improve the overall efficiency and stability of the data warehouse environment.
  • Provide technical and project documentation, utilizing agile project management methodologies.

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