Job Description
As a Senior Data Engineer you will architect and optimize robust, scalable ETL pipelines and workflows to ingest, transform, and deliver data from multiple sources; ensure data integrity and governance through validation frameworks, schema design, and proactive monitoring; leverage advanced SQL and programming skills to extract, transform, and analyze data efficiently, develop automation using Python, Pandas, AWS Lambda, and related tools to improve operational efficiency.Also design and manage data platforms, including Snowflake, Athena, Redshift, BigQuery, and other cloud-based solutions. You will collaborate cross-functionally with analysts, strategists, and business leaders to translate business requirements into technical solutions and mentor and coach junior data engineers, setting standards for code quality, documentation, and best practices.This position will lead vendor and partner integrations, ensuring seamless data delivery and alignment with internal standards, communicate effectively with both technical and non-technical stakeholders, providing clear insight and direction as well as drive innovation, identifying opportunities to improve performance, scalability, and usability of our data systems.
About Spring & Bond
Spring & Bond is a digital media agency and consultancy helping pharmaceutical and medical device manufacturers build robust, omnichannel-enabled media executions.