Lead Data Engineer
Indexed description
Position Details
- Contract Duration: 12 months, with a potential extension of an additional 12 months
- Work Week: 37.5 hours
- Lead the design, development, and optimization of data warehouse platforms
- Provide technical leadership and mentoring to data teams
- Drive data integration projects and ensure system performance
- Collaborate with stakeholders to develop scalable data solutions
- MS SQL / Teradata /Snowflake / Redshift / Databricks – Demonstrated competency in developing, auditing and reviewing code in 2 out of the 5 Data Warehouses listed.
- High level of competency in Programming, including knowledge of supplementary programming languages such as Python, SAS, R or Java.
- Strong expertise with SQL, including experience with reverse-engineering end user SQL code.
- Ability to read and interpret data models and specifications.
- Ability to understand DevOps process and can use DevOps tools in accordance with the process.
- Ability to demonstrate knowledge of version controls and its appropriate uses.
- Minimum of 4 years in a similar role.
- Exposure to AWS Cloud, AWS S3, AWS Glue or similar tools within the cloud environment.
- Competency with required systems, software and programs, including SAS and Excel.
- Demonstrated experience data modelling using metadata/model driven frameworks.
- Effective communication and collaboration skills across cross-functional teams
- Certifications in cloud platforms, data management, or related areas are advantageous
Interested?
Please contact Liam Lasslett at [email protected] for further details and to submit your application.
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