Azure Data Engineer - Data Migration / SQL

ORION SYSTEMS; Ernakulam, Chennai, Coimbatore District; Vor Ort; INR 1.200.000 - 3.000.000; Vollzeit

Zusammenfassung

ORION SYSTEMS seeks an Azure Data Engineer to design, build, and maintain data solutions using Azure tools within the Delivery department. You will collaborate to create scalable pipelines and insightful analytics for business needs.

You will implement ETL, data models, and dashboards with Power BI, ensuring data quality, governance, and secure data processing across environments.

Qualifikationen

• Proficiency with Azure Data Lake and Azure Databricks.
• Strong experience in data cleaning and ETL processes.
• Expertise in data warehousing and data modeling.
• Proven experience in data migration projects, including migration scripts, source-to-target mapping, and migration validation.
• Hands-on experience with Power BI and data visualization.
• Solid knowledge of SQL and Azure SQL Database.
• Understanding of data governance principles.
• 4 - 8 years of experience in data engineering or a related field.

Aufgaben

• Design and implement scalable data solutions using Azure Data Lake and Azure Databricks.
• Develop and maintain data pipelines, ensuring ETL processes are efficient and reliable.
• Perform data cleaning, integration, and validation to ensure data quality and accuracy.
• Build and manage data warehousing solutions to support analytical capabilities.
• Create and manage data models and visual representations leveraging Power BI and Azure SQL Database.
• Implement data governance and ensure compliance with best practices.
• Collaborate with stakeholders to understand data requirements and deliver analytics solutions that meet business objectives.
• Develop and execute data migration scripts to migrate data across systems and databases.
• Perform source-to-target data mapping, migration validation, and data reconciliation to ensure data accuracy and completeness.

Kenntnisse

Azure Data Lake

Azure Databricks

ETL

Data warehousing

Data modeling

SQL

Azure SQL Database

Power BI

Data governance

Migration scripts

Source-to-target mapping

Data cleaning

Data migration

Tools

Power BI

Azure SQL Database

Azure Data Lake

Azure Databricks

Jobbeschreibung

As an Azure Data Engineer within the Delivery department, you will collaborate on designing, building, and maintaining critical data solutions leveraging Azure tools and frameworks. By leveraging your expertise in data engineering and visualization, you will contribute to efficient, secure, and scalable data processing pipelines and insights generation to meet organizational needs.

Key Responsibilities:

• Design and implement scalable data solutions using Azure Data Lake and Azure Databricks.
• Develop and maintain data pipelines, ensuring data extraction, transformation, and loading (ETL) processes are efficient and reliable.
• Perform data cleaning, integration, and validation to ensure data quality and accuracy.
• Build and manage data warehousing solutions to support analytical capabilities.
• Create and manage data models and visual representations leveraging Power BI and Azure SQL Database.
• Implement data governance and ensure compliance with best practices.
• Collaborate with stakeholders to understand data requirements and deliver analytics solutions that meet business objectives.
• Develop and execute data migration scripts to migrate data across systems and databases.
• Perform source-to-target data mapping, migration validation, and data reconciliation to ensure data accuracy and completeness.

Required Skills and Experience:

Mandatory:

• Proficiency with Azure Data Lake and Azure Databricks.
• Strong experience in data cleaning and ETL processes.
• Expertise in data warehousing and data modeling.
• Proven experience in data migration projects, including migration scripts, source-to-target mapping, and migration validation.
• Hands-on experience with Power BI and data visualization.
• Solid knowledge of SQL and Azure SQL Database.
• Understanding of data governance principles.
• 4 - 8 years of experience in data engineering or a related field.