Senior Data Engineer

Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives

Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.

Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security

Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization

Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.

Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.

Enhance the team's dev-ops capabilities.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

2+ years of proven experience developing large-scale software using an object-oriented or a functional language.

5+ years of professional experience in data engineering, focusing on building and maintaining data pipelines and data warehouses

Strong experience with Spark, Scala, and Python, including the ability to write high-performance, maintainable code

Experience with AWS services, including EC2, S3, Athena, Lambda and EMR

Familiarity with data warehousing concepts and technologies, such as columnar storage, data lakes, and SQL

Experience with data pipeline orchestration and sc