Job Summary:
Diverse Lynx is a company specializing in data solutions, and they are seeking a Senior Data Engineer to lead and mentor a team in data engineering projects. The role involves defining data requirements, developing data solutions, and collaborating with various teams to enhance data analytics and visualization.
Responsibilities:
• Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
• Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
• Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
• Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
• Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
• Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Engages with business teams to gather requirements and design data solutions.
• Mentors team of more Junior Data Engineers.
• Collaborates across multiple projects to provide data engineering expertise across teams.
• Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business
• Lead a team of data engineers and act as a key senior contributor to a data engineering project.
Qualifications:
Required:
• Defines data requirements, gather, and wrangle large scale of structured and unstructured data, and validate data by running various data tools in the Data Environment.
• Supports the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
• Creates data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
• Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists and analytics and insights creation in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Develops and maintains data engineering best practices and contributes to Insights on data analytics and visualization concepts, methods and techniques.
• Works closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning.
• Design, implement, and support scalable data infrastructure solutions to integrate with multi-heterogeneous data sources, aggregate and retrieve Big Data in a fast and safe mode, curate data that can be used in BI reporting, analysis, machine learning models and ad-hoc data requests.
• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Engages with business teams to gather requirements and design data solutions.
• Mentors team of more Junior Data Engineers.
• Collaborates across multiple projects to provide data engineering expertise across teams.
• Analyzes most relevant insights and shares with leadership to provide strategic recommendations for the business.
• Lead a team of data engineers and act as a key senior contributor to a data engineering project.
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.