data engineer

• Data pipeline design and development:

  Create and manage data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or lakes. 

• Database management:

  Choose appropriate database technologies (SQL, NoSQL) and design database schemas to efficiently store and access data. 

• Data quality assurance:

  Implement data validation checks and cleansing processes to ensure data accuracy and integrity. 

• Business requirements gathering:

  Understand business objectives, identify key performance indicators (KPIs), and translate them into data analysis needs. 

• Data analysis and interpretation:

  Analyze data using statistical methods and visualization tools to extract meaningful insights. 

• Reporting and presentation:

  Create clear and concise reports and dashboards to communicate findings to stakeholders at all levels. 

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