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Confluent Kafka Data Engineer

📁
Lead Software Engineer
📅
CREQ262252 Requisition #

Key Responsibilities
 Design, develop, and maintain robust, scalable data pipelines using Azure Data Factory (ADF) and Databricks
 Implement batch and real-time data ingestion frameworks leveraging Confluent Kafka
 Build and optimize data models, transformations, and ETL/ELT pipelines using SQL and Spark
 Develop and manage data storage solutions in Azure Data Lake Storage (ADLS)
 Ensure high data quality, integrity, and governance standards
 Support data integration across systems including core banking and CRM
 Optimize performance of large-scale datasets
 Collaborate with stakeholders to translate requirements into solutions
 Ensure compliance with banking regulations and data privacy
 Troubleshoot production issues

Required Skills & Experience
 Strong expertise in SQL (complex queries, tuning, modeling)
 Hands-on experience with Databricks, Spark, PySpark
 Experience with Confluent Kafka and event-driven architecture
 Experience with Azure Data Factory (ADF)
 Experience with Azure Data Lake Storage (ADLS)
 Understanding of data warehousing concepts
 Familiarity with CI/CD and DevOps for data platforms

Domain Knowledge (Preferred)
 Experience in banking or financial services

Classification RAKBANK-Internal

 Understanding of core banking systems
 Knowledge of payments, lending, wealth management
 Awareness of regulatory frameworks (KYC, AML)

Soft Skills
 Strong analytical and problem-solving skills
 Excellent communication and stakeholder engagement
 Ability to work in fast-paced environments
 Strong ownership and collaboration mindset

Qualifications
 Bachelor’s or Master’s degree in relevant field
 Azure/Data engineering certifications preferred

Good to Have
 Experience with Python or Scala
 Exposure to data governance tools
 Knowledge of APIs and microservices
 Experience with BI tools like Power BI

Key Success Indicators
 Delivery of scalable pipelines
 Improved data reliability
 Reduced data latency
 Alignment with business requirements

Key Responsibilities
 Design, develop, and maintain robust, scalable data pipelines using Azure Data Factory (ADF) and Databricks
 Implement batch and real-time data ingestion frameworks leveraging Confluent Kafka
 Build and optimize data models, transformations, and ETL/ELT pipelines using SQL and Spark
 Develop and manage data storage solutions in Azure Data Lake Storage (ADLS)
 Ensure high data quality, integrity, and governance standards
 Support data integration across systems including core banking and CRM
 Optimize performance of large-scale datasets
 Collaborate with stakeholders to translate requirements into solutions
 Ensure compliance with banking regulations and data privacy
 Troubleshoot production issues

Required Skills & Experience
 Strong expertise in SQL (complex queries, tuning, modeling)
 Hands-on experience with Databricks, Spark, PySpark
 Experience with Confluent Kafka and event-driven architecture
 Experience with Azure Data Factory (ADF)
 Experience with Azure Data Lake Storage (ADLS)
 Understanding of data warehousing concepts
 Familiarity with CI/CD and DevOps for data platforms

Domain Knowledge (Preferred)
 Experience in banking or financial services

Classification: RAKBANK-Internal

 Understanding of core banking systems
 Knowledge of payments, lending, wealth management
 Awareness of regulatory frameworks (KYC, AML)

Soft Skills
 Strong analytical and problem-solving skills
 Excellent communication and stakeholder engagement
 Ability to work in fast-paced environments
 Strong ownership and collaboration mindset

Qualifications
 Bachelor’s or Master’s degree in relevant field
 Azure/Data engineering certifications preferred

Good to Have
 Experience with Python or Scala
 Exposure to data governance tools
 Knowledge of APIs and microservices
 Experience with BI tools like Power BI

Key Success Indicators
 Delivery of scalable pipelines
 Improved data reliability
 Reduced data latency
 Alignment with business requirements

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