Designing, developing, implementing, and maintaining data flow processes using Apache NiFi and Kafka.
Collaborating with stakeholders to understand data and system requirements, analyzing data sources and schema, and designing data processing pipelines, workflows, and templates.
Building and configuring NiFi and Kafka processors, connectors, and components such as filters, splitters, routers, and others, in order to support the data collection, processing, and transformation process.
Developing and implementing real-time data ingestion pipelines, automating data transfers and workflows, and designing strategies to handle various data formats and APIs.
Leveraging NiFi and Kafka's ability to conduct real-time analysis and monitoring of data sources, processing, and performance to optimize workflows and ensure optimal data quality.
Integrating NiFi and Kafka with other technologies in order to create a comprehensive data pipeline system, such as integrating with Hadoop, Spark, and other commonly used big data tools.
Developing custom NiFi and Kafka processors, templates, and workflow elements to meet specific business needs and data requirements.
Troubleshooting and debugging issues related to NiFi and Kafka data flows, processors, and workflows to ensure high uptime and reliability.
Managing collaboration across cross-functional teams including data scientists, data analysts, and other stakeholders to ensure smooth delivery of data-related solutions.
Staying up-t0-date with advancements in related data technologies and identifying new ways to apply NiFi and Kafka to evolving data requirements and data sources in the organization.
Developing API and UI components to interface with and monitor Apache NiFi and Kafka workflows and data flows, providing self-service access to NiFi and Kafka workflows and data for other teams and stakeholders.
Creating scripts and code for automation of deployment and scaling of NiFi and Kafka in production environments.
Ensuring compliance with data governance, data protection, and security rules and regulations, including auditing data flows, tracking lineage, and making sure that encryption and access controls are in place.
Collaborating with other developers and technical staff to design and implement production-level data processing workflows that can handle high data volumes and ensuring scalability to meet business needs.
Testing and deploying production-level solutions developed with NiFi and Kafka.
Mentoring and coaching other team members in NiFi and Kafka development and usage.
Documenting the code and development processes for future reference.