Senior GCP Data Engineer (Fully remote, EMEA)
Location
Brasil | Brazil
Job description
Who We Are:
RE Partners is a technology consulting firm for those leaders that want to becomechampions by choosing a partner, not a staffing agency. RE Partners knows that adigital transformation is more than just technology. We have a successful track recordof being a preferred vendor for Fortune 1000 companies by leveraging the talent of ourglobal delivery organization and network of technology partners. This approach hashelped a wide-ranging portfolio of global clients reach their goals. The firm'sdedication to diversity has earned it the Women's Business Enterprise National Council(WBENC) certification as a Woman-Owned Business. RE Partners' current and futuresuccess is driven by the diverse experiences and cultures of our global organization.
About the client
Client's legacy began in 2012, from a garage in Birmingham, UK with nothing but a sewing machine, a screen printer, and ambitions they had no right to hold. Today they are a family of employees, athletes and followers are now over 10 million strong, with a total social media following of over 18 million and customers in over 230 countries across 14 online stores
As a Sr. Data Engineer, you will play a crucial role in managing and optimizing our datainfrastructure to support data-driven decision-making across various supplychain/retail functions. You will collaborate with cross-functional teams to design,implement, and maintain robust data pipelines, ensuring accurate and timely dataavailability for analytics and reporting purposes.
Responsibilities :
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and design efficient data models that support analytical needs related to supply chain/retail operations.
- Develop and maintain ETL processes using Alteryx to extract, transform, and load data from various sources into our data warehouse, ensuring data quality and consistency.
- Utilize Python programming to enhance data processing capabilities, automate routine tasks, and optimize data pipelines for efficiency and performance.
- Work closely with IT and database administrators to ensure the scalability, reliability, and security of our data infrastructure.
- Identify and address data integration challenges and performance bottlenecks, applying best practices to optimize query performance and data processing.
- Collaborate with business users to define data transformation rules, data cleansing procedures, and data enrichment processes.
- Monitor and troubleshoot data pipeline issues, proactively identifying and resolving data-related problems to minimize downtime and ensure data accuracy.
Qualifications:
- Proven experience (5+ years) as a Data Engineer, preferably within the supply chain or retail industry.
- Strong expertise in data modeling, designing efficient and scalable database structures that support complex analytical queries.
- Deep expertise in Python and SQL in the context of ETL and ELT processes using
- Alteryx, including store procedures, data extractions, transformations, data wrangling and data orchestration using these languages.
- Experience with data warehousing concepts and technologies, including data modeling, schema design (Star or Snowflake), and query optimization.
- Experience with GCP products , can build data pipelines for both batch and stream using GCP services such as Data Fusion, Dataflow, Pub/Sub, Cloud Storage, and BigQuery as a data warehouse.
- Proven experience in building event-driven data engineering pipelines using CI/CD and broader DevOps approaches in the cloud – ideally GCP but any experience across the major cloud providers would be fine as it’s normally interchangeable.
- Strong communication skills to effectively convey technical concepts to nontechnical stakeholders.
- Solid understanding of supply chain or retail operations, including relevant data challenges and opportunities for optimization.
Sound good? There’s more:
- We offer 100% remote work
- Salary in USD
- Wellness/Fitness packages
- Continuous Education and Certifications
- Paid Time Off
- Paid Holidays
- Professional Conferences and Training
- Global Team Building Activities
- Access to coworking spaces worldwide
- Ongoing English courses and much more!
Job tags
Salary
