This job post is closed and the position is probably filled. Please do not apply.
π€ Automatically closed by a robot after apply link
was detected as broken.
Description:
Design and implement cloud data architectures on platforms like AWS, Azure, or Google Cloud Platform (GCP) to create scalable, reliable, and cost-effective data solutions.
Develop and maintain data ingestion pipelines to efficiently collect data from various sources into cloud storage.
Implement data storage solutions using cloud-native services like Amazon S3, Azure Data Lake Storage, or Google Cloud Storage, optimizing for performance and scalability.
Create and manage data processing pipelines using frameworks such as Apache Spark, Apache Flink, or Google Dataflow for real-time and batch data processing.
Integrate data from different sources into cloud solutions, ensuring seamless data flow and interoperability.
Establish data governance policies to maintain data quality, security, and compliance in cloud environments.
Optimize data pipelines for performance and scalability, utilizing cloud-native features to enhance efficiency and reduce costs.
Set up monitoring and alerting systems to track data pipeline performance and address issues promptly.
Document cloud data architectures, pipelines, and best practices for team collaboration.
Collaborate with cross-functional teams to understand requirements and deliver cloud data solutions.
Mentor junior engineers and facilitate knowledge sharing sessions within the team.
Requirements:
Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
5+ years of experience in data engineering, focusing on cloud data technologies.
Proficiency in AWS, Azure, or GCP, and services like Amazon S3, Azure Data Lake Storage, or Google Cloud Storage.
Strong programming skills in Python, Java, or Scala, with experience in Apache Spark or Apache Flink.
Familiarity with cloud-native data processing services like AWS Glue, Azure Data Factory, or Google Dataflow.
Understanding of data integration concepts and experience integrating data in cloud environments.
Problem-solving skills and analytical thinking for designing and troubleshooting complex cloud data solutions.
Excellent communication and collaboration abilities for working in cross-functional teams.
Benefits:
Competitive salary ranging from $170,000 to $230,000 per year.
Comprehensive health, dental, and vision insurance plans.
Flexible work hours and remote work options.
Generous vacation and paid time off.
Professional development opportunities including training programs and conferences.
Access to state-of-the-art technology tools and resources.
Vibrant and inclusive company culture with growth opportunities.
Exciting projects with real-world impact in data-driven innovation.