Real-Time Data Pipelines Specialist
7 days ago
Xurpas Enterprise, Inc is looking for a highly skilled Real-Time Data Pipelines Specialist to lead the effort in designing, building and configuring applications as the primary point of contact. The ideal candidate will possess a strong educational background in computer science, software engineering or a related field with at least 4 years of experience in StreamSets. Key responsibilities include managing critical data pipelines that power analytics for various business units, developing different pipelines in StreamSets according to the requirements of the business owner and ensuring data pipelines are optimized for performance and scalability.
Responsibilities
- Lead the effort to design, build and configure applications as the primary point of contact.
- Manage critical data pipelines that power analytics for various business units.
- Develop different pipelines in StreamSets according to the requirements of the business owner; intensively use Python, JSON, and Groovy scripts coding to deploy the StreamSets pipelines into the server.
- Build, deploy, and manage data pipelines using StreamSets Data Collector (SDC) and StreamSets DataOps.
- Design real-time and batch data workflows to support analytics, reporting, and operational systems.
- Ensure data pipelines are optimized for performance and scalability.
- Connect and integrate data from diverse sources such as relational databases, cloud services, APIs, and streaming platforms (e.g., Kafka).
- Handle complex data transformations, data cleansing, and enrichment processes.
- Collaborate with stakeholders to understand data requirements and provide tailored solutions.
- Monitor and troubleshoot data pipelines to ensure reliable data flow and minimal downtime.
- Automate pipeline deployments using CI/CD tools and implement version control.
Qualifications
- Strong educational background in computer science, software engineering or a related field.
- At least 4 years of experience in StreamSets.
- 4+ years of experience in data engineering or related roles.
- Proficiency in StreamSets Data Collector and Transformer.
- Strong understanding of ETL/ELT processes and data pipeline design principles.
- Knowledge of databases (SQL, NoSQL), data warehousing, and big data platforms (Hadoop, Spark).
- Familiarity with streaming platforms such as Kafka or AWS Kinesis.
- Proficiency in programming languages like Python, Java, or Scala.
- Experience with cloud platforms like AWS, Azure, or GCP.
- Familiarity with DevOps tools such as Jenkins, Git, and Docker.
- StreamSets Professional Certification.
- AWS Certified Data Analytics – Specialty or equivalent cloud certifications.
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