
Cloud-Based Data Architect
4 days ago
Job Summary:
Our organization is seeking an experienced Data Engineer to develop, implement and maintain robust data pipelines using cloud services. The ideal candidate will possess deep expertise in cloud-based data processing technologies, including GCP, AWS, or Azure.
Responsibilities:
- Design and build scalable data pipelines using cloud services (GCP, AWS, or Azure).
- Implement data ingestion, transformation, and storage solutions.
- Ensure data quality, integrity, and security across all data systems.
- Monitor and troubleshoot data pipelines to identify and resolve issues.
- Collaborate with data scientists and other stakeholders to understand data requirements.
- Optimize data pipelines for performance, reliability, and cost-effectiveness.
- Create and maintain clear documentation of data flows, system architecture, and operational procedures.
Qualifications:
- Bachelor's or Master's degree in Computer Science or related field.
- At least 2 years of experience in Data Engineering or related roles.
- Proficiency with cloud services such as GCP, AWS, or Azure is required.
- Hands-on experience with Distributed Stream Processing Technology ecosystem, including Apache Kafka, Flink, or Beam etc.
- Strong programming skills in languages such as Python, Scala, or NodeJS.
- Experience with SQL, NoSQL & especially Timeseries databases.
- Experience with parallel programming & distributed data processing.
- Solid understanding of data warehousing concepts and technologies.
- Ability to design and implement data architectures.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
Preferred Qualifications:
- Experience developing data pipelines & processing services, with a deeper understanding of Quality Controls.
- Knowledge of IoT data and related technologies.
- A Google Cloud Certified Professional Data Engineer will be given preference.
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