Senior Data Engineer

Posted about 1 month agoViewed
USAFull-TimeDigital Media
Company:Spring & Bond
Location:USA
Languages:English
Seniority level:Senior, 5-7 years
Experience:5-7 years
Skills:
AWSPythonSQLETLSnowflakePandasMentoringData modeling
Requirements:
Bachelor’s degree in Computer Science, Data Engineering, or related field—or equivalent experience 5–7+ years of experience in data engineering Expert knowledge of SQL and Python Strong experience with AWS data products (S3, Redshift, Athena, Lambda) Familiarity with multi-cloud environments Deep understanding of data modeling and schema design Demonstrated ability to design secure, reliable pipelines Experience leading projects and mentoring other engineers Excellent communication, critical thinking, and problem-solving skills Comfortable managing multiple priorities
Responsibilities:
Architect and optimize robust, scalable ETL pipelines and workflows Ensure data integrity and governance Leverage advanced SQL and programming skills Develop automation using Python, Pandas, AWS Lambda Design and manage data platforms (Snowflake, Athena, Redshift, BigQuery) Collaborate with analysts, strategists, and business leaders Mentor and coach junior data engineers Lead vendor and partner integrations Communicate effectively with technical and non-technical stakeholders Drive innovation in data systems
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