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Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our team at Experis ManpowerGroup Sp. Z O.o. as a technical lead for a federal government client project.
Key Responsibilities:- Provide technical leadership to the project delivery team through design reviews, advising on implementation best practices, defining and refining release process and technical workshops.
- Review and refine the data delivery framework in order to enhance integration of new sources, performance of existing data delivery and rapid development of new subject areas.
- Own the technical implementation of new data from analysis to delivery (designing and delivering data dictionary, defining the release steps, defining best practices of data modelling and review steps).
- Facilitate continuous improvement measures in delivery principles, coding standards, documentation and provide training sessions to team.
- Provide knowledge transfer sessions and peer review on best practices on development, data modelling, release process etc.
- Prioritise work items and add them to a work queue.
- Understand, analyse and size user requirements.
- Development and maintenance of SQL analytical and ETL code.
- Development and maintenance of system documentation.
- Collaboration with data consumers, database development, testers and IT support teams.
- Work items placed into a product backlog.
- Consumption layer materials, per specification.
- Efficient code production.
- 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 Dev Ops process and can use Dev Ops 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.
- Tertiary qualifications in mathematics, statistical, computer sciences discipline or more than three years relevant work experience.
- Experience working in an Agile environment.
