Data Engineer
2 months ago
Responsibilities:
- Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
- Monitor and maintain data pipelines to ensure high availability and consistency.
- Develop algorithms for processing and analyzing large datasets.
- Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
- Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
- Implement robust data management practices to ensure data integrity and security.
- Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
- Communicate complex data concepts effectively to non-technical stakeholders.
- Stay updated on the latest trends and advancements in big data technologies.
- Continuously enhance data infrastructure to improve performance and scalability.
Requirements:
- Bachelor's degree or higher in Computer Science, Data Science, or a related field.
- Minimum of 2 years of relevant professional experience preferred.
- Proven experience in designing and maintaining data pipelines and storage solutions.
- Strong proficiency with distributed computing frameworks, particularly Spark.
- Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.
Tell employers what skills you have
Machine Learning
Scalability
Scala
Big Data
Pipelines
Hadoop
Data Management
Scripting
ETL
Cassandra
Data Engineering
SQL
Python
Data Science
Java
Databases
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