Back
Mid-level data role in Bangalore with broad Azure/Databricks skills increases candidate competition.
Core data engineering skills like Azure, PySpark and SQL are broadly transferable across industries.
Explicit 5-7 years plus mandatory Azure Databricks, PySpark, and SQL skills make shortlisting stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, construct, and maintain scalable data management systems using Azure Databricks and related Azure cloud services.
Lead module planning, estimation, implementation, monitoring, and tracking for data engineering projects.
Develop and maintain data pipelines, optimize PySpark/Python code, and support data infrastructure for stakeholders.
5-7 years of software development experience focused on data projects using Python, PySpark, and Azure cloud technologies.
Proven experience with Azure cloud services including Azure Data Factory, Azure Lake Gen 2, Azure Databases, and API management.
Strong SQL skills with both RDBMS and NoSQL databases; experience developing APIs with Python frameworks like FastAPI.
Location: Bengaluru, Karnataka, India (ETV - SEZ1); Employee Type: Permanent.
Experienced data engineer comfortable leading modules and collaborating cross-functionally in financial services domain or related sectors.
Proficient in optimization and troubleshooting of data pipelines and code with a focus on efficiency and performance improvements.
Demonstrates strong organizational skills with ability to deliver results under demanding timelines and manage multiple database platforms.