Data Lake Architect Position
We are seeking an experienced Data Engineer to design and implement a scalable data processing system.
Key Responsibilities include:
- Designing and implementing an efficient data ingestion pipeline;
- Developing data integration processes using AWS Glue or Apache Spark;
- Implementing data transformation and enrichment processes using serverless technologies;
- Collaborating with data scientists and analysts to understand their data requirements;
- Optimizing data storage and retrieval mechanisms;
- Monitoring and troubleshooting the data infrastructure;
- Continuously evaluating new AWS services and technologies;
Required Skills and Qualifications:
- 5+ years of experience working as a Data Engineer;
- Strong focus on AWS technologies and serverless architectures;
- Experience working with Azure is valuable;
- In-depth knowledge of AWS services such as S3, Lambda, Glue, Athena, Redshift, and DynamoDB;
- Proven expertise in designing and implementing scalable data processing systems;
- Strong programming skills in languages like Python, Java, or Scala;
- Experience using SQL for data manipulation and querying;
- Hands-on experience with data integration and ETL tools;
Benefits:
- Opportunity to work with cutting-edge technologies;
- Collaborative and dynamic work environment;
- Continuous learning and professional growth opportunities;
- Competitive compensation package;
Job Type: Full-time
Work Location: Remote