Data Engineer
Konga Nigeria
Lagos, Nigeria
45m ago
source : Fuzu

Job Profile

  • We are searching for a talented and smart individual with a passion for the Ecommerce space to function in the capacity of a Data Engineer.
  • The ideal candidate should be responsible for turning data into information, information into insight and use insight to help enable business decisions.
  • The ideal candidate will also be responsible for monitoring the business performance and quality control plans to identify improvements.
  • Job Requirements

  • A Bachelor's Degree in Mathematics, Computer Science, Information Management or Statistics, or any other related field will be an added advantage
  • Excellent knowledge of relational databases, SQL and ORM technologies (JPA2, Hibernate)
  • Proficiency in software engineering tools
  • 2 to 4 years proven working experience as a data analyst or business data analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.
  • Strong knowledge of and experience with reporting solutions (Power BI, Qlikview etc.), databases (SQL etc.), and ETL.
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.).
  • Strong written and verbal communication and interpersonal skills.
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
  • Adept at queries, report writing and presenting findings.
  • Job Responsibilities

  • Interpreting data, analyze results using statistical techniques and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Build pipelines in with Azure Data Factory and Synapse Pipelines for ETL, ELT, and ELTL orchestration.
  • Design and implement Data Warehouse in Azure Synapse Analytics.
  • UsePySpark for Data Orchestration.
  • Interpreting data, analyze results using statistical techniques and provide ongoing reports.
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
  • Designing and Implementing Machine Learning Models to aid business decision making and performance.
  • Acquire data from primary or secondary data sources and maintain databases / data systems.
  • Identify, analyze, and interpret trends or patterns in complex data sets.
  • Work with management to prioritize business and information needs.
  • Locate and define new process improvement opportunities.
  • Monitoring business performance.
  • Communicating key project data to team members and building cohesion among teams.
  • Developing and executing project plans.
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