Principal ETL Developer

• We are looking for an ETL developer to play a pivotal role in shaping, and implementing cutting-edge data flow solutions centered around Apache NiFi.
• Design and optimize complex NiFi data pipelines, supporting both batch and real-time processing through performance tuning, memory management, and load balancing.
• Integrate across big data and cloud technologies, connecting NiFi with platforms and services such as AWS, Azure, OCI, Kafka, Elasticsearch, S3, and SQS/SNS.
• Contribute across the full software development lifecycle within a DevOps framework, supporting the design, development, implementation, and testing of customer tools and applications.
• Solve complex data and integration challenges, collaborating with data architects, data engineers, developers, and other stakeholders to deliver robust, scalable, and secure solutions supporting critical customer needs.

The candidate will provide technical expertise and support in the design, development, implementation and testing of customer tools and applications in support of Extracting, Transforming and Loading (ETL) of data into an enterprise Data Lake. The candidate will be responsible for following architectural best practices, and optimizing performance in large-scale environments, ensuring the delivery of robust, scalable, and secure data flow solutions that drive critical customer needs. Based in a DevOps framework, the ETL Developer participates in the delivery of major projects through all aspects of the software development lifecycle.

• Architecting complex NiFi data pipeline design: Design and develop enterprise-level ETL architectures and implement NiFi data pipelines for large-scale data ingestion, transformation, and processing from diverse sources.
• Performance optimization and tuning: Optimize NiFi data flows, including processor tuning, memory management, and load balancing, ensuring optimal performance for batch and real-time processing.
• Advanced troubleshooting and problem resolution: Identify, diagnose, and resolve complex NiFi data flow issues, including performance bottlenecks, data discrepancies, and integration failures.
• Integrating with big data and cloud technologies: Seamlessly integrate NiFi with various databases, big data ecosystems, and cloud platforms (e.g., AWS, OCI, Azure), demonstrating expertise in relevant services (e.g., Kafka, Elasticsearch, S3, SQS/SNS).
• Defining best practices and standards: Establish best practices for NiFi development, deployment, security, and governance, ensuring adherence to enterprise-wide data management policies.
• Documentation and knowledge sharing: Create and maintain comprehensive documentation for NiFi data flows, mappings, architectures, and standard operating procedures, ensuring knowledge transfer and promoting efficient team operations.
• Collaboration and communication: Collaborate effectively with data architects, data engineers, application/service developers, and other stakeholders to translate business requirements into robust technical solutions and effectively communicate complex technical concepts to both technical and non-technical audiences.
• Mentorship and team leadership: Mentor junior developers, provide technical guidance, conduct code reviews, and foster a collaborative learning environment.

• Education: Bachelor's degree with 12 or more years of prior relevant experience or Master's degree with 10 or more years of relevant experience. Additional years of experience may be substituted in lieu of a degree.
• The ideal candidate will possess:
  • In-depth experience designing, developing, and managing complex NiFi data flow solutions in large-scale enterprise environments.
  • In-depth knowledge of NiFi architecture, processors, and configurations, along with hands-on experience with NiFi Registry and clustering for high availability and scalability.
  • Proficiency in programming languages like Java and Python for custom NiFi processor development and scripting for automation.
  • Proficiency writing and optimizing complex queries, along with experience in managing relational and NoSQL databases (e.g., Postgres, Elasticsearch, DynamoDB).
  • Direct experience with real-time streaming, and API integration (REST) for seamless data connectivity.
  • Direct experience with cloud platforms like AWS, Azure, or OCI and related data services
  • Strong ability to analyze complex data challenges, identify root causes, and implement effective solutions.
  • Strong ability to collaborate effectively with cross-functional teams, articulate technical concepts clearly, and provide effective mentorship.

• In-depth experience deploying ETL solutions in an AWS environment.

• Mon-Fri, 40 hr work week