Job Description & How to Apply Below
[Provide a brief introduction to the company, its mission, and culture.]
About the Role
[A short paragraph summarizing the key role responsibilities.]
Responsibilities
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
Qualifications
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
Required Skills
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
Preferred Skills
[List any preferred skills here.]
Pay range and compensation package
[Pay range or salary or compensation]
Equal Opportunity Statement
[Include a statement on commitment to diversity and inclusivity.]
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