An innovative firm is looking for a talented Big Data Engineer to join their dynamic team. In this role, you will design and implement scalable data pipelines, develop machine learning models, and integrate complex big data systems. Your expertise in tools like Apache Spark, AWS Glue, and various databases will be crucial in optimizing data workflows and ensuring seamless data processing. This position offers the opportunity to work with cutting-edge technologies in cloud environments, contributing to impactful projects that drive data-driven decision-making. If you're passionate about big data and eager to make a difference, this is the perfect opportunity for you.
Qualifications
Expertise in building scalable ETL pipelines and big data systems.
Hands-on experience with machine learning frameworks and cloud platforms.
Responsibilities
Build scalable ETL pipelines using Apache Spark and AWS Glue.
Process large datasets with Hadoop and Kafka for real-time data streaming.
Skills
Apache Spark
AWS Glue
Google Dataflow
Hadoop
Kafka
MySQL
PostgreSQL
MongoDB
Cassandra
Machine Learning
Tools
Talend
Apache Flink
TensorFlow
PyTorch
Scikit-learn
Git
Job description
An innovative firm is looking for a talented Big Data Engineer to join their dynamic team. In this role, you will design and implement scalable data pipelines, develop machine learning models, and integrate complex big data systems. Your expertise in tools like Apache Spark, AWS Glue, and various databases will be crucial in optimizing data workflows and ensuring seamless data processing. This position offers the opportunity to work with cutting-edge technologies in cloud environments, contributing to impactful projects that drive data-driven decision-making. If you're passionate about big data and eager to make a difference, this is the perfect opportunity for you.