Data Warehouse Engineer
Data Warehouse Engineer
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Job Description
Job Description
This is an exciting opportunity for an experienced developer of large-scale data solutions. You will join a team delivering a transformative cloud hosted data platform for a key Version 1 customer.
The ideal candidate will have a proven track record as a senior/self-starting data engineer in implementing data ingestion and transformation pipelines for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies Informatica Talend Azure Data Factory Snowflake Azure Synapse Analytics or Amazon Redshift to play an important role in developing and delivering early proofs of concept and production implementation.
You will ideally have experience in building solutions using a variety of tools and a proven track record in delivering high quality work to tight deadlines.
Your main responsibilities will be:
- Design develop and maintain scalable data warehouse solutions using modern cloud-based platforms such as Snowflake Azure Synapse Analytics or Amazon Redshift to support enterprise-level analytics and reporting needs.
- Core responsibilities include building efficient Extract Transform Load (ETL) or Extract Load Transform (ELT) pipelines using tools like Informatica Talend or Azure Data Factory conducting thorough data validation to ensure accuracy and consistency and providing support for Business Intelligence (BI) reporting initiatives.
- Strong proficiency in SQL is required for querying and data manipulation along with experience in dimensional data modeling to optimize analytical performance.
- Familiarity with reporting and visualization tools such as Power BI or Tableau is essential.
- Developing scalable and re-usable frameworks for ingestion and transformation of large data sets
- Integrating the end to end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is maintained at all times
- Working with other members of the project team to support delivery of additional project components (Reporting tools API interfaces Search)
- Evaluating the performance and applicability of multiple tools against customer requirements
- Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
Qualifications :
- Bachelors or masters degree in Computer Science Business Information Systems Mathematics or related quantitative field
- 3 years of experience in DWH implementation
- Candidates must possess hands-on experience with Structured Query Language (SQL) data quality management tools and should be proficient in facilitating data exchange through Application Programming Interfaces (APIs).
- Deep knowledge of operating systems and relational database with advanced SQL and Python skills
- Proficiency in the data concepts related to curation archival analysis visualization and integrity
- Good knowledge in at least one business intelligence solution (e.g. Power BI)
- Strong analytical critical-thinking and problem-solving skills
- Excellent communication skills and team-oriented approach
- Have led minimum 2 mid-scale Data Warehouse projects
- Direct experience of building data piplines using Azure Data Factory and Databricks
- Experience building data warehouse solutions using ETL / ELT tools like Informatica Talend Azure DataFactory
- Comprehensive understanding of data management best practices including demonstrated experience with data profiling sourcing and cleansing routines utilizing typical data quality functions involving standardization transformation rationalization linking and matching.
Nice to have
- Additional knowledge of data governance principles and metadata management practices is considered a valuable asset.
Additional Information :
At Version 1 we believe in providing our employees with a comprehensive benefits package that prioritises their well-being professional growth and financial stability.
One of our standout advantages is the ability to work with a hybrid schedule along with business travel allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology.
We prioritise the health and safety of our employees providing private medical and life insurance coverage as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations including AWS Microsoft Oracle and Red Hat.
Our employee-designed Profit Share scheme divides a portion of our companys profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential offering Pathways Career Development Quarterly a programme designed to support professional growth.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
