| Lead Data Engineer, NO H1B, OPT or CPT at Remote, Remote, USA |
| Email: [email protected] |
| From: Shikha, KPG99 [email protected] Reply to: [email protected] Hi, Hope you are doing well. Please find the job description below and let me know your interest. Position:Lead Data Engineer, NO H1B/ OPT/ CPT Location:100% Remote Duration: 6+ Months MOI: Phone and Video Must have skills Data Analysis and Architecture, Spark, PySpark, Python, Sqoop, Pig, Hive, No SQL Data Stores, Object Store, Design and Development of APIs, Kafka Role Summary: This role will be responsible for transforming extensive and complex data into consumable business capabilities. Create system architecture, design, and specification using in-depth engineering skills and knowledge to solve complex development problems and achieve engineering goals. Determine and source appropriate data for a given analysis. Work with data modelers/analysts to understand the business problems they are trying to solve, then create or augment data assets to feed their analysis. Acts as a resource and mentor for colleagues with less experience. Core Responsibilities: Lead a team of data engineers to develop data products and tools, explore new technologies, and continually improve tools and processes. Hands-on experience working with Data Analysis and Architecture, Spark, PySpark, Python, Sqoop, Pig, Hive, No SQL Data Stores, Object Store, Design and Development of APIs, Kafka Create business value by leading the design, get your hands dirty, write code, and ultimately deploy big data and machine learning capabilities. Possess expert knowledge in performance, large-scale data distributed system scalability, system architecture, and data engineering best practices. Give the highest priority to operational excellence, evaluate system performance, security, design system metrics, and driving quality improvements. Provide leadership, work collaboratively, and be a mentor in a fantastic team. Your expertise is deep and broad; youre hands-on, producing both detailed technical work and high-level architectural designs. 5+ years of recent hands-on in an object-oriented language (Java, Scala, Python). 5+ years of experience designing and building data pipelines and data-intensive applications. Experience using Big Data frameworks (e.g., Hadoop, Spark), databases for complex data assembly and transformation. Experience working with Healthcare data is a plus. |
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| Thu Nov 03 20:53:00 UTC 2022 |