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 competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable ETL/data pipeline solutions using Python and PySpark.
Build and optimize Data Marts and data transformation processes handling structured, semi-structured, and unstructured data.
Manage end-to-end software development lifecycle activities including development, UAT support, production deployment, and post-production support with troubleshooting.
Minimum Requirements
5+ years of experience in data engineering with ETL and data warehousing expertise.
Strong hands-on skills in Python, PySpark, Spark, Oracle SQL, and data analysis including query optimization.
Experience with Hadoop ecosystem components including MapReduce, Hive, and both SQL and NoSQL databases.
Location requirement: Bangalore; Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in banking or financial services domain.
Skilled in multi-structured data handling and troubleshooting in production environments.
Familiar with CI/CD pipelines, software engineering best practices, and cross-functional collaboration for data quality assurance.