Senior Data Engineer
3 days ago
The Senior Data Engineer is responsible for designing, developing, and implementing data solutions that meet the business needs of Saxon Global. This includes processing structured and unstructured data, validating data quality, and developing and supporting data products.
Key Responsibilities:- Process Structured and Unstructured Data
- Data Validation and Quality
- Agile Planning
- Product Development
- Application Support
- Advice and Guidance
The ideal candidate will have a strong background in data engineering, with experience in designing and implementing data solutions using batch and real-time data processing frameworks. They will also have a strong understanding of data modeling, data access, schemas, and data storage techniques within Snowflake.
Additionally, the candidate will have experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL, and business intelligence tools and platforms. They will also have experience with data quality tools and application lifecycle methodologies.
The Senior Data Engineer will work closely with the analytics team to design viable data solutions and provide technical guidance and oversight. They will also be responsible for monitoring emerging technologies and staying up to date on new data technologies and best practices.
Qualifications:- Bachelor's degree in Computer Science or related field and 8-10 years working experience
- Working experience with batch and real-time data processing frameworks
- Working experience with data modeling, data access, schemas, and data storage techniques within Snowflake
- Working experience in design, development, and implementation of highly scalable, high-volume software systems and components, client-facing web applications, and major Internet-oriented applications and systems
- Working experience working with relational databases such as SQL, MySQL, Postgres/PostgreSQL
- Working experience with business intelligence tools and platforms
- Working experience with data quality tools
- Working experience with application lifecycle methodologies (e.g. waterfall, agile, iterative)
- Experience with ETL processes and tools
- Experience working with Git
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