
Principal Data Scientist
4 days ago
Job Overview:
Data engineers play a pivotal role in defining the data lifecycle, encompassing data models and sources for analytics platforms. They collaborate closely with data scientists to understand business challenges and design end-to-end pipelines for collecting, ingesting, storing, transforming, and optimizing large datasets.
- Develop and maintain data pipelines using tools like Apache Spark, Airflow, and Kafka
- Work with distributed storage systems on cloud platforms (AWS/GCP) or HDFS
- Experience in building real-time analytics systems using Apache Spark, Flink, and Kafka
- Proficient in programming languages such as Scala, Python, Java, and R
- Familiarity with NoSQL databases like Cassandra, MongoDB, HBase, and Redis
Key Responsibilities:
- Design and schedule end-to-end pipelines for data science problems
- Identify and deploy big data technologies to solve problems efficiently
- Automate data science pipelines and track performance
- Build customer 360-degree views and feature stores for machine learning applications
Requirements:
- 5-7 years of experience in managing large datasets, simulation/optimization, and distributed computing
- Excellent communication and presentation skills
- Technical qualifications: experience working with Apache Spark, distributed storage systems, and NoSQL databases
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