2 months ago
Bengaluru, IndiaSenior
Responsibilities
- Develop robust data solutions using Azure, Databricks, PySpark, Python, and SQL.
- Write complex and optimized code for data quality and transformation scenarios.
- Collaborate with stakeholders to understand requirements and independently deliver solutions.
- Debug and resolve post-production issues in developed code.
- Troubleshoot bugs and maintain strong code quality.
Requirements
- 8+ years of experience with the listed coding skills.
- Strong expertise in Azure, Databricks, Python, PySpark, and SparkSQL.
- Experience with Jenkins, GitHub, and Dynatrace.
- Strong problem-solving capability and ability to write accurate, optimal code under time constraints.
- Retail banking, capital markets, or securities-processing experience is advantageous.
- Java, Kafka, Cassandra, microservices, APIs, Flink, ZeroMQ, and Protocol Buffers are nice to have.
Tech Stack
Categories
Data Engineering
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.