Senior Data Engineer Position
We're seeking a highly skilled Senior Data Engineer to design and implement an efficient data processing architecture. In this role, you'll develop expertise in AWS serverless technologies, including AWS Lambda, Glue, and S3.
This is a fantastic opportunity to collaborate with cross-functional teams and leverage your technical knowledge to drive business innovation. You will also mentor junior engineers, ensuring they receive the guidance and support needed to grow within the organization.
* Data Ingestion and Processing: Develop data ingestion pipelines and integration processes to ensure seamless transfer of data from various sources into the Data Lake.
* Data Transformation and Enrichment: Implement data transformation and enrichment processes using AWS Lambda, Glue, or similar serverless technologies to maintain data quality and consistency.
* Data Modeling and Optimization: Collaborate with data scientists and analysts to design appropriate data models and schemas in the Data Lake, optimizing storage and retrieval mechanisms for high-performance access.
* Troubleshooting and Innovation: Monitor and troubleshoot the Data Lake infrastructure, identifying performance bottlenecks, data processing errors, and other issues, while continuously evaluating new AWS services and technologies to enhance the Data Lake architecture.
To be successful in this position, you should have extensive experience working as a Data Engineer, with a strong focus on AWS technologies and serverless architectures. Hands-on experience with data integration and ETL tools, such as AWS Glue or Apache Spark, is essential for transforming and processing data efficiently.
This role requires strong problem-solving skills, attention to detail, and excellent communication skills to work effectively with cross-functional teams. If you are passionate about data engineering, have a desire to learn and innovate, and can thrive in a fast-paced environment, we encourage you to apply.