Lead Data Engineer
4 days ago
Key Responsibilities:
- Lead the design and implementation of large-scale data processing systems using Spark and Scala.
- Architect, develop, and optimize data pipelines for efficient data transformation, aggregation, and processing of large datasets.
- Work with cross-functional teams to define data engineering solutions that meet business and operational requirements.
- Lead a team of data engineers, provide technical guidance, and ensure adherence to coding standards and best practices.
- Collaborate with data scientists and analysts to understand data needs and deliver high-quality datasets for analytics.
- Work with cloud platforms (AWS, Azure, GCP) to design and implement scalable data solutions.
**Requirements**:
- 6+ years of experience in data engineering with at least 2 years in a lead role.
- Expertise in Apache Spark and Scala for building scalable, high-performance data processing pipelines.
- Proficiency in big data technologies like Hadoop, Hive, HBase, and Kafka.
- Strong experience with cloud platforms (AWS, Azure, or GCP) for data processing and storage.
- Experience in SQL and NoSQL databases such as PostgreSQL, Cassandra, or MongoDB.
- Deep understanding of data warehousing concepts and data modeling techniques.
- Experience in managing and leading engineering teams, with strong mentoring and coaching skills.
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