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Senior Data Engineer
3 months ago
Responsibilities :
- Design, develop, and implement cloud-based data pipelines for efficient data movement and transformation.
- Migrate data workloads from on-premise to cloud storage solutions (e.g, AWS S3).
- Utilize cloud-based SQL and NoSQL databases (e.g, AWS Redshift, DynamoDB) for data storage and retrieval.
- Develop and maintain data pipelines using tools like AWS Glue and Airflow.
- Experience with serverless functions (e.g, AWS Lambda) for data processing tasks (a plus).
- Design and implement data models to ensure data consistency and quality.
- Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements.
- Monitor and maintain data pipelines to ensure smooth operation and performance.
- Develop and document data pipelines adhering to best practices and coding standards.
- Stay up-to-date on the latest advancements in cloud data technologies and best practices.
Experience & Skills :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field (preferred).
- 4+ years of experience as a Data Engineer or a similar role.
- Hands-on experience with cloud-based SQL and NoSQL databases (e.g, AWS Redshift, DynamoDB).
- Proficiency in Python/Pyspark, SQL, and AWS services (Glue, Redshift, EC2, Lambda, S3).
- Strong understanding of data architecture and data modeling principles.
- Familiarity with data pipeline orchestration tools like AWS Glue and Airflow (a plus).
- Experience with Git for version control (a plus).
- Background in enterprise data warehousing and analytics (a plus).
- Excellent problem-solving, analytical, and communication skills.
- Strong collaboration skills and ability to work effectively with cross-functional teams.
- Ability to work independently and manage multiple projects in a fast-paced environment