
Big Data Specialist
2 hours ago
Job Title: Senior Data Engineer
About the Role:
We are seeking an experienced data engineer to design and maintain large-scale data systems that support business needs.
Key Responsibilities:
- Design, build, and maintain optimal data pipeline architecture using SQL and big data technologies.
- Build tools for analytics team members to assist in building and optimizing products.
- Work with data scientists to improve functionality in data systems.
- Implement process improvements, automate manual processes, optimize data delivery, and redesign infrastructure for greater scalability.
- Experience working with big data tools, relational databases, and workflow management tools.
Mandatory Qualifications:
Proficiency in Scala or Python, expertise in Spark, and experience with performance tuning and optimization. DBT is mandatory.
We require a candidate with 2+ years of experience as a Data Engineer. Experience with cloud services, stream-processing systems, object-oriented/scripting languages, and 'big data' pipelines is necessary.
Requirements:
- Strong analytical skills related to structured/unstructured datasets.
- Ability to build processes supporting data transformation, dimensional modeling, metadata, dependency, schema registration/evolution, and workload management.
- Working knowledge of message queuing, stream processing, and highly scalable data stores.
Nice to Have:
- A few side projects up on GitHub.
- Contributed to an open-source project.
- Worked at a product company.
- Working knowledge of backend programming languages.
Preferred Qualifications:
Strong proficiency in Scala or Python, hands-on expertise in Apache Spark, and ability to handle large datasets efficiently.
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