Azure Data Engineer

Role overview

Azure Data Engineer at Techolution

Responsibilities

• Design and implement robust data pipelines using Azure Data Factory .
• Manage and secure large datasets within Azure Data Lake storage solutions.
• Write complex SQL queries for data extraction, analysis, and reporting.

Employment details

• Location: Remote [India]

Application details

• Apply a Seeker Mindset to identify and integrate new data technologies.

About the employer

• Techolution, a leader in Full Enterprise Automation, is seeking a passionate and detail-oriented Mid-Level Azure Data Engineer to join our expanding data team.

Additional role details

• Are you ready to sculpt the future of data, transforming raw information into strategic insights that drive real business outcomes?
• In this pivotal remote role, you will leverage your hands-on expertise with Azure data services, PySpark, and Azure Databricks to develop scalable and reliable data pipelines, collaborating closely with architects and cross-functional teams.
• This is your opportunity to make a tangible impact, ensuring data quality and integrity while contributing to innovative solutions that deliver measurable value for our clients.
• Develop and optimize data transformation jobs with PySpark in Azure Databricks .
• Take full Ownership of data quality and pipeline performance.
• Contribute to the integration of data solutions with emerging AI initiatives.
• Strong proficiency in PySpark for scalable data processing and analytics.
• Expertise in SQL for efficient data querying, manipulation, and database management.
• Hands-on experience with Azure Data Factory for building and orchestrating ETL/ELT workflows.
• Solid understanding of Azure Data Lake for managing and optimizing big data storage.
• Ability to utilize Azure Databricks for advanced data engineering and machine learning tasks.
• Demonstrates an Unbeatable Work Ethics , ensuring high standards and reliability.
• Possesses a strong Ability to comprehend complex data requirements and translate them into solutions.
• Exposure to AI exposure and machine learning concepts for data integration is beneficial.
• Understanding of how AI can leverage data pipelines for business outcomes is a plus.
• Relevant industry certifications in Azure data platforms are highly valued.