
Data Engineer Position
4 days ago
We are seeking a highly skilled Big Data Professional to join our team. As a key member of the team, you will be responsible for designing and developing scalable data pipelines using Scala Spark and PySpark.
The ideal candidate should have a strong background in Big Data technologies and be able to design, develop, and implement scalable data pipelines using tools like Scala Spark and PySpark.
Key Responsibilities Include:
- Designing and developing scalable data pipelines using Scala Spark and PySpark.
- Analyzing complex data sets to identify trends and insights.
- Implementing data transformation logic and building data models.
- Working effectively in a team environment to meet project deadlines.
- Collaborating with cross-functional teams to ensure successful project delivery.
Requirements:
- 6-12 years of experience in Big Data projects.
- Experience in Big Data technologies including PySpark, Scala Spark, Java Spark SQL.
- Good understanding of data structures and algorithms.
- Implementation project experience building data pipelines, transformation logics, and data models.
- Strong experience in SQL.
A successful candidate will possess excellent problem-solving skills, strong communication skills, and the ability to work effectively in a team environment. Experience with cloud-based big data platforms such as AWS or GCP is a plus.
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