Confluent Data Engineer
PSRTEK (company site, opens in a new tab)8+ yrsChennai, Coimbatore, Madurai, Salem, Tiruppur, TrichyOn-siteDirect career pageEst. 22–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable data pipelines using Azure Data Factory, Databricks, and Confluent Kafka.
- Implement batch and real-time data ingestion frameworks and optimize ETL/ELT pipelines using SQL, Spark, and PySpark.
- Ensure data quality, governance, and compliance with banking regulations while supporting integration across systems including core banking and CRM.
Minimum Requirements
- 8+ years of relevant work experience.
- Hands-on expertise in FlinkSQL, Kafka Connect, CDC (Debezium), Sink Connectors, Databricks, Spark, PySpark, Azure Data Factory, and Azure Data Lake Storage.
- Strong SQL skills including complex query writing, tuning, and modeling.
- Bachelor's or Master's degree in a relevant field; Azure/Data engineering certifications preferred.
Ideal Candidate Profile
- Experience working in banking or financial services with understanding of core banking systems and regulatory frameworks (KYC, AML).
- Proven ability to deliver scalable and reliable data pipelines aligned with business requirements in fast-paced environments.
- Familiarity with CI/CD, DevOps for data platforms, and stakeholder collaboration for translating complex requirements.