
Senior Cloud Data Engineer
2 days ago
This role requires an experienced and highly skilled Senior Data Engineer to join our team. The ideal candidate will have a strong background in designing, developing, and deploying large-scale data solutions, and working closely with cross-functional teams to power business insights.
Key Responsibilities:
- Design and implement scalable ETL/ELT pipelines using cloud services such as AWS Glue, EMR, and Athena.
- Architect and manage data warehouses using cloud technologies, integrating with S3, RDS, and DynamoDB for both structured (SQL) and unstructured (NoSQL) data needs.
- Utilize PySpark on AWS EMR for distributed data processing, ensuring the effective transformation of raw data into business insights.
- Manage both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB, MongoDB) databases, ensuring data is efficiently stored, retrieved, and queried.
- Implement and maintain real-time streaming data solutions using cloud services such as AWS Kinesis or Kafka for low-latency data processing.
- Use cloud monitoring tools to monitor, automate, and optimize data pipelines and ensure efficient use of cloud resources.
- Ensure adherence to best practices for data security, governance, and compliance, including data encryption and access controls.
- Work closely with data scientists, analysts, and business stakeholders to align data infrastructure with business objectives.
- Maintain detailed documentation of data models, data pipeline processes, and system architectures.
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Senior Cloud Data Specialist
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