Hadoop PySpark Technical Lead
4 weeks ago
As a Hadoop PySpark Technical Lead at Diverse Lynx LLC, you will be responsible for designing, developing, and scheduling data pipelines that handle large volumes of data within Service Level Agreements (SLAs).
Key Responsibilities
• Understand requirements and use cases to build efficient ETL solutions using Apache Spark, Python, and Kafka targeting Cloudera Data Platform.
• Analyze requirements and convert functional requirements into concrete technical tasks, providing reasonable effort estimates.
• Work closely with data analysts, modelers, and business users to understand data requirements and convert them into high-level and low-level designs and source-to-target documents.
• Design, develop, and schedule data pipelines that handle large volumes of data within SLAs, working with solution architects, technical managers, and admins to understand SLAs and limitations of systems.
• Expertise in processing large volumes of data aggregation using Spark, with knowledge of different performance improvement techniques and the ability to lead teams on optimization.
• Develop efficient data ingestion and data governance frameworks as per specification.
• Improve the performance of existing Spark-based data ingestion and aggregation pipelines to meet SLAs.
Requirements
• 10+ years of experience in Hadoop PySpark development and data engineering.
• Expertise in Cloudera Data Platform, Apache Spark, Python, and Kafka.
• Strong understanding of data pipelines, ETL solutions, and data governance frameworks.
• Ability to work independently and proactively with global teams to address project requirements and articulate issues and challenges with enough lead time to address project delivery risks.
About Diverse Lynx LLC
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence, and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
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