Fynbosys Inc is Hiring a Sr / Lead Data Engineer Near New York, NY
Top Skills - Must Haves
Python
Sql
scala
AWS
Top Skills' Details
Python - developing scalable and efficient data pipelines and automate data workflows enabling the processing of large volumes of data SQL - designing, optimizing and maintaining databases and data pipelines using queries Scala - develop robust data pipelines and application of large-scale data sets AWS - development and optimization of all aspects of cloud infrastructure
Secondary Skills - Nice to Haves
spark
etl
big data
hadoop
Job Description
Responsibilities: Work on migrating applications from an on-premises location to the cloud service providers. Develop products and services on the latest technologies through contributions in development, enhancements, testing and implementation. Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline. Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology. Perform problem analysis, data analysis, reporting, and communication. Work with peers across the system to define and implement best practices and standards. Assess applications and help determine the appropriate application infrastructure patterns. Use best practices and knowledge of internal or external drivers to improve products or services. Qualifications: Expert-level understanding of Agile, SDLC, CI/CD, DevOps, GitOps, and ProdOps is required. Expert-level expertise in SQL, Python, Scala or similar; other object-oriented programming experience a plus Expert-level experience in data architecture, data types/formats, optimizing code and ETL jobs, data architecture, data modeling, data contracts a key requirement for successful collaboration with data architects and visualization developers. Expert-level professional hands-on experience in extensible data pipeline development using Databricks, Alteryx, AWS Glue and Lambda functions. Expert-level professional hands-on experience with RDBMS, ETL scripting tools and IDEs, data pipeline development, and management using orchestration/monitoring tools. Expert-level knowledge and experience in implementing software engineering security best practices and contributing to design/engineering for DevSecOps. Expert-level experience with master data management strategies, rules-based engines, and tools for multi-stage data correlation on large data sets. Must have experience managing deployment and leading the release of code to production. Expert-level understanding of data visualization tools and requirements for business customers.