Nationstaff
Senior Data Engineer
Nationstaff, New York, New York, us, 10261
We are looking for a savvy Data Engineer to join our growing team of analytics experts. We are looking for a Senior Data Engineer with experience in ingesting a High Volume of data using skills like Snowflake/NiFi/Python/C#/ SQL and be part of the Data Ingestion as a Service team within the Data Engineering Department. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Job requirements Experience:
4-10 years of experience
Core Responsibilities:
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databasesExperience building and optimizing 'big data' data pipelines, architectures and data setsExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementStrong analytic skills related to working with unstructured datasetsBuild processes supporting data transformation, data structures, metadata, dependency and workload managementA successful history of manipulating, processing and extracting value from large disconnected datasetsWorking knowledge of message queuing, stream processing, and highly scalable 'big data' data storesStrong project management and organizational skillsExperience supporting and working with cross-functional teams in a dynamic environmentUnderstand client requirements and should have a strong understanding of cloud computingShould be able to work independently, as part of a distributed team across different geographiesShould be able to learn new technologies and cross-skill as per project needRequired Experience & Skills :
Experience building and optimizing 'big data' data pipelines, architectures and data sets6+ years of hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale6+ years of SQL, MySQL, No-SQL, AWS Redshift, Hive, Snowflake development experience6+ years of experience with schema design and dimensional data modeling4+ years of Python, Pandas, NumPy programming experience4+ years working experience on Map Reduce, Big-Data processing frameworksExperience in custom or structured (ie. Informatica/Talend/Pentaho/Fivetran) ETL design, implementation and maintenanceStrong experience writing complex SQL queriesExperience implementing operational best practices such as monitoring, alerting, metadata managementBS or MS degree in Computer Science or a related technical fieldExcellent written and verbal communication skillsUnderstanding business needs while being client focusedGoing the distance to make projects a successA willingness to take on new responsibilitiesEager to get their hands on new technologies
Job requirements Experience:
4-10 years of experience
Core Responsibilities:
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databasesExperience building and optimizing 'big data' data pipelines, architectures and data setsExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvementStrong analytic skills related to working with unstructured datasetsBuild processes supporting data transformation, data structures, metadata, dependency and workload managementA successful history of manipulating, processing and extracting value from large disconnected datasetsWorking knowledge of message queuing, stream processing, and highly scalable 'big data' data storesStrong project management and organizational skillsExperience supporting and working with cross-functional teams in a dynamic environmentUnderstand client requirements and should have a strong understanding of cloud computingShould be able to work independently, as part of a distributed team across different geographiesShould be able to learn new technologies and cross-skill as per project needRequired Experience & Skills :
Experience building and optimizing 'big data' data pipelines, architectures and data sets6+ years of hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale6+ years of SQL, MySQL, No-SQL, AWS Redshift, Hive, Snowflake development experience6+ years of experience with schema design and dimensional data modeling4+ years of Python, Pandas, NumPy programming experience4+ years working experience on Map Reduce, Big-Data processing frameworksExperience in custom or structured (ie. Informatica/Talend/Pentaho/Fivetran) ETL design, implementation and maintenanceStrong experience writing complex SQL queriesExperience implementing operational best practices such as monitoring, alerting, metadata managementBS or MS degree in Computer Science or a related technical fieldExcellent written and verbal communication skillsUnderstanding business needs while being client focusedGoing the distance to make projects a successA willingness to take on new responsibilitiesEager to get their hands on new technologies