Back
Mid-level Bangalore data role with Azure Databricks specialization and a well-known employer, moderate competition.
Data engineering skills transfer across industries but Azure Databricks specialization limits portability somewhat.
Explicit 5–8 years plus mandatory Azure Databricks, PySpark, ADF and Python increases screening rigidity.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain scalable data pipelines and analysis tools using Azure Data Bricks, PySpark, SQL, and Python.
Work with Azure cloud services including Azure Functions, Data Factory, SQL, Key Vault, ADLS, Delta Lake.
Collaborate in Agile environment using Azure DevOps for CI/CD, handle data integration, transformations, and data consolidation from various sources.
5-8 years of experience in software development with strong Azure Data Engineering skills.
3-4 years working with Azure Data Bricks, PySpark & SQL, Azure Data Factory, Azure Data Lake.
Bachelor's degree in BE / B.Tech / MCA / BCA (or equivalent).
Work Experience Required: 5-8 years
Experienced in building enterprise-level Azure data pipelines and proficient in Python scripting and data engineering best practices.
Familiarity with Azure DevOps CI/CD pipelines and Agile methodologies to deliver solutions efficiently.
Knowledge of batch scheduling (Autosys), streaming platforms (Kafka, Solace), and data migration strategies enhances fit.