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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable data pipelines using PySpark, Hadoop, Hive, Python, and SQL.
Develop and optimize PySpark applications for large-scale data processing and handle complex SQL queries for data extraction and validation.
Collaborate with business analysts, technical leads, and engineering teams to deliver data solutions within banking domain compliance and governance standards.
Minimum Requirements
3-8 years of professional experience in data engineering or related software development.
Strong hands-on expertise in Python, PySpark, Hadoop, Hive, and SQL with large datasets.
Exposure to distributed data processing concepts and experience in banking or financial services delivery environments.
Location requirement: Hyderabad, Telangana, India (Full-time).
Ideal Candidate Profile
Experienced in building and optimizing data pipelines in a financial services context with strong operational impact.
Comfortable working across cross-functional teams including analysts and technical leads to translate business requirements into data solutions.
Skilled in managing code through GitHub and adhering to data security, compliance, and governance standards specific to banking industry.