Back
Remote and popular data engineer title balanced by specific Azure/Databricks skill requirements, moderate competition.
Core Azure data engineering skills transfer across industries but require cloud-specific platform expertise.
Mandatory Azure Data Factory, Databricks, PySpark, Data Lake and SQL create moderate technical filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and optimize scalable data ingestion pipelines using Azure Data Factory, PySpark on Azure Databricks, and manage data storage within Azure Data Lake.
Ensure data pipeline health and performance monitoring with clear ownership of end-to-end pipeline operations.
Collaborate with architects and analysts to deliver innovative AI-driven enterprise data solutions contributing to significant client ROI.
Proficient in PySpark, SQL, Azure Data Factory, Azure Data Lake, and Azure Databricks.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to work remotely in India; full-time commitment.
Demonstrated ownership and ability to monitor and maintain data pipelines.
Experience working in cloud-based enterprise data environments focused on Azure ecosystem and AI solutions.
Comfortable operating in fast-paced environments delivering measurable business outcomes through data engineering.
Strong technical proficiency combined with a proactive, improvement-driven approach to data architecture and pipeline automation.