Data Engineer

• Strong experience in data engineering and distributed data processing.
• Proficient in SQL for data transformation and reporting.
• Hands-on expertise with Apache Hadoop and Apache Spark.
• Experience with workflow orchestration tools such as Oozie and Airflow.
• Familiarity with CI/CD pipelines using Git, PR workflows, and Jenkins.
• Knowledge of Kafka and event-driven architectures.
• Good communication skills and ability to translate SQL issues for business stakeholders.

Nice to have:

• Experience with containerization and orchestration using Kubernetes.
• Familiarity with Apache Flink.

• Develop data engineering solutions for regulatory reporting needs.
• Translate business requirements into executable SQL statements.
• Provide Level 3 support and collaborate with Production Assurance.
• Optimize data processing workflows using Apache Hadoop and Spark.
• Implement CI/CD pipelines for seamless deployment.
• Utilize Kafka for building event-driven architectures.