Azure Data Engineer

Tekishub Consulting Services Private Limited · Bengaluru · onsite · Posted 34d ago

Not disclosed6–13 yrsfulltimeSourced from Foundit

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About this role

Description

We are seeking an experienced Azure Data Engineer to join our dynamic team in India. The ideal candidate will have a strong background in cloud data engineering, specifically with Azure, and will be responsible for designing and implementing data solutions that drive business insights and decision-making.

Responsibilities

Design and implement data solutions using Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database.
Develop and maintain ETL processes to extract, transform, and load data from various sources into Azure data storage solutions.
Optimize data pipelines and ensure data quality and integrity throughout the data lifecycle.
Collaborate with data scientists and other stakeholders to understand data requirements and deliver actionable insights.
Monitor and troubleshoot data workflows and performance issues in Azure.
Implement security and compliance measures to protect sensitive data in Azure environments.

Skills and Qualifications

6-13 years of experience in data engineering or related fields.
Proficient in Azure cloud services, particularly Azure Data Factory, Azure SQL Database, and Azure Databricks.
Strong programming skills in languages such as Python, SQL, or Scala.
Experience with data modeling and database design principles.
Knowledge of big data technologies like Hadoop, Spark, or similar frameworks is a plus.
Familiarity with data warehousing concepts and solutions.
Understanding of data governance, security, and compliance best practices.
Ability to work collaboratively in a team environment and communicate effectively with non-technical stakeholders.

Sourced from foundit

Skills

Cloud Storagepython scriptingETL ProcessesAzure SQLSpark FrameworkPower BiData WarehousingAzure Data FactoryData ModelingSQL Server

Description

Responsibilities

Design and implement data solutions using Azure services such as Azure Data Factory, Azure Databricks, and Azure SQL Database.

Develop and maintain ETL processes to extract, transform, and load data from various sources into Azure data storage solutions.

Optimize data pipelines and ensure data quality and integrity throughout the data lifecycle.

Collaborate with data scientists and other stakeholders to understand data requirements and deliver actionable insights.

Monitor and troubleshoot data workflows and performance issues in Azure.

Implement security and compliance measures to protect sensitive data in Azure environments.

Skills and Qualifications

6-13 years of experience in data engineering or related fields.

Proficient in Azure cloud services, particularly Azure Data Factory, Azure SQL Database, and Azure Databricks.

Strong programming skills in languages such as Python, SQL, or Scala.

Experience with data modeling and database design principles.

Knowledge of big data technologies like Hadoop, Spark, or similar frameworks is a plus.

Familiarity with data warehousing concepts and solutions.

Understanding of data governance, security, and compliance best practices.

Ability to work collaboratively in a team environment and communicate effectively with non-technical stakeholders.