Data Engineer

As a Data Engineer, you will play a critical role in the development, implementation, and maintenance of data infrastructure and systems. Your primary responsibility will be to design, build, and optimize data pipelines and data warehouses, ensuring the efficient and reliable collection, storage, and processing of large volumes of data. You will collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and translate them into scalable solutions. Your work will enable the organization to extract valuable insights, drive data-based decision-making, and support various business initiatives.

• Design, develop, and maintain data pipelines and ETL processes to efficiently ingest, transform, and load data from various sources into data warehouses and data lakes.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and design data models that facilitate efficient data retrieval and analysis.
• Optimize data pipeline performance, ensuring scalability, reliability, and data integrity.
• Implement data governance and security measures to ensure compliance with data privacy regulations and protect sensitive information.
• Identify and implement appropriate tools and technologies to enhance data engineering capabilities and automate processes.
• Conduct thorough testing and validation of data pipelines to ensure data accuracy and quality.
• Monitor and troubleshoot data pipelines to identify and resolve issues, ensuring minimal downtime.
• Develop and maintain documentation, including data flow diagrams, technical specifications, and user guides.
• Collaborate with software engineers and infrastructure teams to optimize data infrastructure, including storage, processing, and retrieval systems.
• Stay up-to-date with emerging trends and technologies in the field of data engineering, and recommend innovative solutions to improve efficiency and performance.