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.