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ClifyX

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3.7

based on 21 Reviews

139 ClifyX Jobs

Azure Data Engineer

Clifyx Technology.

3.7

based on 21 Reviews

2-4 years

Bangalore / Bengaluru

1 vacancy

Azure Data Engineer

ClifyX

posted 2mon ago

Job Role Insights

Fixed timing

Key skills for the job

Power BI Data Analytics Python Cloud Computing Data Visualization MySQL Database Administration

+ 4 more

Job Description

Job Title : Azure Data Engineer Job Description
We are seeking a talented Azure Data Engineer. As a key member of the data engineering team, you will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions on the Azure platform. You will play a crucial role in transforming raw data into valuable insights to drive business decisions.
Responsibilities:

Design, develop, and implement data pipelines using Azure Data Factory to efficiently extract, transform, and load data from various sources into Azure Data Lake Storage (ADLS).
Build and optimize data processing workflows using Azure Databricks, leveraging Python and PySpark for data manipulation, analysis, and transformation.
Ensure data quality, integrity, and consistency throughout the data lifecycle.
Optimize data pipelines for performance, scalability, and cost-efficiency.
Troubleshoot and resolve data-related issues.
Stay up-to-date with the latest advancements in Azure data technologies and industry best practices.

Mandatory Qualifications:

2-4 years of relevant experience in data engineering or related field.
Strong proficiency in Azure Data Factory, ADLS, and Azure Databricks.
Excellent programming skills in Python and PySpark.
Experience with ETL/ELT processes, and data warehousing concepts.
Understanding of data quality and governance principles.
Ability to work independently and as part of a team.
Strong problem-solving and analytical skills.

Good to Have Qualifications:

Experience with other Azure data services (Azure SQL Database, Azure Synapse Analytics, etc.)
Knowledge of cloud computing concepts and architectures.
Experience with data visualization tools (Power BI, Tableau, etc.)

Employment Type: Full Time, Permanent

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