Data Engineer

As a Data Engineer, you will be responsible for designing, building, and optimizing the organization’s data architecture. This role involves developing scalable data pipelines, managing large-scale databases, and ensuring efficient data processing. You will collaborate with stakeholders to understand data requirements and ensure that data infrastructure supports the organization's needs while maintaining the integrity and quality of data throughout its lifecycle.

Key Responsibilities:

• Design, build, and maintain scalable data pipelines for extracting, transforming, and loading (ETL) data.
• Develop and optimize relational and non-relational databases to ensure efficient data storage and retrieval.
• Implement data warehousing solutions like Redshift or Snowflake to support large-scale data management.
• Utilize scripting languages such as Python or R for data manipulation, automation, and analysis.
• Ensure data integrity, accuracy, and consistency across all processes and systems.
• Collaborate with cross-functional teams, including data scientists and analysts, to support their data needs and projects.