What are the responsibilities and job description for the Data Engineer position at ClifyX?
Job Description
The candidate should be able to perform data analysis using sql queries
Create data models on big data platform like Hadoop optionally on Snowflake
Hand on development experience with industry leading ETL or Reporting tool
Develop implement and maintain leadingedge analytic systems taking complicated problems and building simple frameworks
Identify trends and opportunities for growth through analysis of complex data sets
Evaluate organizational methods and provide sourcetotarget mappings and informationmodel specification documents for data sets
Evaluate internal systems for efficiency problems and inaccuracies developing and maintaining protocols for handling processing and cleaning data
Work directly with management and users to gather requirements provide status updates and build relationships
Work closely with management to understand and maintain focus on their analytical needs including identifying critical metrics and KPIs and deliver actionable insights to relevant decisionmakers
Proactively analyze data to answer key questions from stakeholders or out of selfinitiated curiosity with an eye for what drives business performance investigating and communicating areas for improvement in efficiency and productivity
Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
Define and implement data acquisition and integration logic selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets
Skills
Data analysis
The candidate should be able to perform data analysis using sql queries
Create data models on big data platform like Hadoop optionally on Snowflake
Hand on development experience with industry leading ETL or Reporting tool
Develop implement and maintain leadingedge analytic systems taking complicated problems and building simple frameworks
Identify trends and opportunities for growth through analysis of complex data sets
Evaluate organizational methods and provide sourcetotarget mappings and informationmodel specification documents for data sets
Evaluate internal systems for efficiency problems and inaccuracies developing and maintaining protocols for handling processing and cleaning data
Work directly with management and users to gather requirements provide status updates and build relationships
Work closely with management to understand and maintain focus on their analytical needs including identifying critical metrics and KPIs and deliver actionable insights to relevant decisionmakers
Proactively analyze data to answer key questions from stakeholders or out of selfinitiated curiosity with an eye for what drives business performance investigating and communicating areas for improvement in efficiency and productivity
Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
Define and implement data acquisition and integration logic selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution
Develop and maintain databases by acquiring data from primary and secondary sources and build scripts that will make our data evaluation process more flexible or scalable across data sets
Skills
Data analysis
