About this role
The team is seeking a highly skilled Solutions Architect with a strong background in Data Engineering. The ideal candidate will have at least 5 years of experience specializing in AWS platforms, Python, and SQL. In this role, you will be responsible for designing and implementing scalable, cost-effective data pipelines on AWS, optimizing data storage, and supporting the ingestion and transformation of large datasets for business reporting and AI/ML exploration.
Key Responsibilities:
- Design and implement data pipelines that meet business requirements and optimize performance.
- Collaborate with stakeholders to understand client requirements and translate them into technical specifications.
- Optimize data storage solutions to ensure efficient access and retrieval of data.
- Support the ingestion and transformation of large datasets for various analytical purposes.
- Ensure data quality and integrity throughout the data lifecycle.
- Stay up-to-date with industry trends and emerging technologies in data engineering and cloud solutions.
Required Skills & Qualifications:
- Strong experience with AWS services related to data engineering (e.g., S3, Redshift, Glue).
- Proficiency in Python for data processing and automation tasks.
- Solid understanding of SQL for database management and querying.
- Experience with data modeling, ETL processes, and data warehousing concepts.
- Excellent problem-solving skills and attention to detail.
- Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
Experience: Minimum of 5 years in a relevant field.
What we offer:
- Opportunity to work on innovative projects in a dynamic environment.
- Collaborative team culture with a focus on professional growth.
- Access to the latest tools and technologies in data engineering.
Applications are read by our talent team, usually within two working days.
If you look like a fit we will call you, and you will hear from us either way.