Data Engineer (Big Data)

Provide a brief introduction to the company, its mission, and culture.] Bachelor’s Degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field, or equivalent practical experience • 3–5 years of experience in Data Engineering or a closely related technical role • Hands-on experience designing, building, and operating modern data pipelines and data platforms • Strong problem-solving skills, including the ability to perform root cause analysis on internal and external data and processes • Ability to manage work across multiple projects with strong organizational and prioritization skills • Strong written and verbal communication skills to collaborate effectively with technical and non-technical partners Advanced working knowledge of SQL and experience working with relational databases – Any Database experience Proficiency in programming languages such as Python, Java, Scala, Go, and SQL Experience with big data technologies and platforms including Databricks, Spark, Kafka, and cloud-native data services Experience building and optimizing large-scale data pipelines, architectures, and data sets Strong understanding of ETL/ELT patterns and data engineering best practices Ability to develop, support, and operate data platforms across cloud and enterprise Advanced working knowledge of SQL and experience working with relational databases – Any Database experience Proficiency in programming languages such as Python, Java, Scala, Go, and SQL Experience with big data technologies and platforms including Databricks, Spark, Kafka, and cloud-native data services Experience building and optimizing large-scale data pipelines, architectures, and data sets Strong understanding of ETL/ELT patterns and data engineering best practices Ability to develop, support, and operate data platforms across cloud and enterprise Pay range and compensation package [Pay range or salary or compensation] Include a statement on commitment to diversity and inclusivity.]