Data Engineer for Big Data Solutions
5 days ago
We are seeking a highly skilled Data Engineer to join our team at Cloudious LLC. As a Data Engineer, you will be responsible for designing, developing, and maintaining robust and scalable ETL workflows and data pipelines using tools like Hive, Spark, and Airflow.
The ideal candidate will have expertise in Hive, Spark, and Apache Hudi for big data processing and storage, as well as hands-on experience with BigQuery and Google Cloud Platform (GCP) services such as GCS, Dataflow, and Pub/Sub.
In this role, you will work closely with cross-functional teams to understand business requirements and deliver data solutions that drive insights and decision-making.
About the Role- Design, develop, and maintain ETL workflows and data pipelines using Hive, Spark, and Airflow
- Implement and manage data storage and processing solutions using Apache Hudi and BigQuery
- Develop and optimize data pipelines for structured and unstructured data in GCP environments, leveraging GCS for data storage
- Write clean, maintainable, and efficient code in Scala and Python to process and transform data
- Ensure data quality, integrity, and consistency by implementing appropriate data validation and monitoring techniques
$140,000 - $160,000 per year salary package is available for this exciting opportunity.
Requirements- 7+ years of recent GCP experience
- Expertise in Hive, Spark, and Apache Hudi for big data processing and storage
- Hands-on experience with BigQuery and Google Cloud Platform (GCP) services such as GCS, Dataflow, and Pub/Sub
- Strong programming skills in Scala and Python, with experience in building data pipelines and ETL processes
- Proficiency with workflow orchestration tools like Apache Airflow
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