Position Details
About this role
This role involves developing and maintaining scalable data architectures and pipelines, working with large datasets, and optimizing data solutions for strategic insights.
Key Responsibilities
- Develop data architectures
- Build data pipelines
- Collaborate with cross-functional teams
- Optimize data performance
- Ensure data integrity
Technical Overview
Focuses on data platform development using Scala, Python, Java, Kafka, Spark, Hadoop, and related big data tools, supporting large-scale data processing and analytics.
Ideal Candidate
The ideal candidate is a senior data engineer with 5+ years of experience in building scalable data platforms, proficient in Scala, Python, or Java, and experienced with big data tools like Kafka, Spark, and Hadoop. They are collaborative, analytical, and capable of optimizing data pipelines.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of data engineering experience, Lack of experience with Kafka, Spark, Hadoop, No programming in Scala, Python, or Java, Inability to work with large datasets
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