Architect and optimize big data pipelines using Apache Spark, Delta Lake, and Databricks-native tools.
Design scalable data ingestion and transformation workflows, including batch and streaming (e.g., Kafka, Spark Structured Streaming).
Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control.
Implement data security and governance using Unity Catalog, access controls, and data classification techniques.
Support migration of legacy systems to Databricks on cloud platforms like Azure, AWS, or GCP.
Manage cloud platform operations with a focus on FinOps support, optimizing resource utilization, cost visibility, and governance across multi-cloud environments.
Collaboration & Advisory
Act as a technical advisor to data engineering and analytics teams, guiding best practices and performance tuning.
Partner with architects and business stakeholders to align Databricks solutions with enterprise goals.
Lead proof-of-concept (PoC) initiatives to demonstrate Databricks capabilities for specific use cases.
Strategic & Leadership Contributions
Mentor junior engineers and promote knowledge sharing across teams.
Contribute to platform adoption strategies, including training, documentation, and internal evangelism.
Stay current with Databricks innovations and recommend enhancements to existing architectures.
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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