Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessGeneralist data engineer role with broad Azure/Databricks skillset attracts moderate competition.
Cloud data engineering skills are broadly transferable across industries.
Specific mandatory stack (Databricks, Spark, ADF, Delta Lake, Azure, Python) and governance requirements tighten filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines and ETL workflows using Databricks, Spark, and Azure Data Factory (ADF).
Implement and optimize data lakehouse architecture focusing on performance and cost efficiency, including Delta Lake and data modeling.
Develop and maintain Power BI dashboards and reports while ensuring data quality, governance, and collaboration with data scientists and business stakeholders.
Minimum Requirements
Experience with Databricks, Spark, Azure Data Factory, and Python for data processing and automation.
Knowledge of data lakehouse architecture, Delta Lake, data modeling, and CI/CD pipelines with version control (Git).
Work Experience Required: Not explicitly mentioned in the JD.
Ability to orchestrate complex workflows and monitor data pipelines ensuring high availability and reliability.
Ideal Candidate Profile
Experienced in cloud data engineering with a focus on Azure services and modern data architectures like lakehouse.
Strong technical skills in building automated, efficient, and reusable data solutions and dashboards for business insights.
Demonstrates operational ownership of data pipeline reliability, security, and collaboration across technical and business teams.