Azure Data Engineer

Techolution · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 12:24 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 258563cb-0cc0-4bb4-ad54-cfff062c4d7f

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Are you ready to sculpt the future of data, transforming raw information into strategic insights that drive real business outcomes? 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. 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. Design and implement robust data pipelines using Azure Data Factory . Develop and optimize data transformation jobs with PySpark in Azure Databricks . Manage and secure large datasets within Azure Data Lake storage solutions. Write complex SQL queries for data extraction, analysis, and reporting. Take full Ownership of data quality and pipeline performance. Apply a Seeker Mindset to identify and integrate new data technologies. 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.

Collected experience requirement

Mid-Level