
Cloud Data Solutions Specialist
3 days ago
Job Description:
- Develop, design and implement large-scale data pipelines using Python or C# for efficient data processing.
- Lead the creation of cloud-based data architectures with services like AWS Redshift, Google BigQuery, Azure Data Lake and Snowflake.
- Design and manage scalable ETL/ELT solutions for batch and real-time processing using cloud services (AWS, Azure, Google Cloud).
- Implement data security and governance practices in compliance with regulations (GDPR, HIPAA) using Azure security features.
- Collaborate with data scientists and analysts to deliver data solutions that meet business analytics needs. Mentor junior data engineers on standard processes in data engineering and pipeline design.
Required Skills and Qualifications:
- 8-10 years of experience in data engineering with a focus on large-scale data pipelines and cloud infrastructure.
- Strong expertise in Python (Pandas, NumPy, ETL frameworks) or C# for efficient data processing solutions. Extensive experience with cloud platforms (AWS, Azure, Google Cloud) and their data services.
- Advanced knowledge of relational databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Cassandra). Familiarity with big data technologies (Apache Spark, Hadoop, Kafka).
- Strong background in data modeling and ETL/ELT development for large datasets. Experience with version control (Git) and CI/CD pipelines for data solution deployment.
Benefits:
- Opportunity to work with cutting-edge technologies and innovative projects.
- Collaborative and dynamic work environment.
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