Data Engineer
Data Engineer
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Job Description
Job Title: Data Engineer
Location: Bentonville AR
Duration: 4 Months
Job Type: Contract
Job Description:
Job Summary:
We are looking for an experienced GCP Data Engineer with 58 years of handson experience to join our team. The ideal candidate will have extensive practical knowledge in SQL Python data modeling and solving complex ETL/ELT challenges. In this role you will actively design develop and maintain data pipelines and architectures within Google Cloud Platform (GCP) to support datadriven decisionmaking.
Key Responsibilities:
Data Modeling: Create and maintain data models and schemas to support business intelligence and reporting needs. Ensure data integrity and consistency across various sources.
Data Engineering: Design build and manage scalable data pipelines and ETL/ELT processes using GCP tools such as BigQuery Dataflow Dataproc and Pub/Sub.
SQL Development: Write efficient and complex SQL queries for data extraction transformation and analysis. Optimize query performance for large datasets.
Python Programming: Develop Python scripts and applications for data processing automation and integration with GCP services.
Problem Solving: Troubleshoot and resolve datarelated issues ensuring data accuracy and performance. Implement best practices for data management and optimization.
Collaboration: Work closely with data scientists analysts and other stakeholders to understand data requirements and deliver solutions that meet business needs.
Documentation: Maintain comprehensive documentation for data pipelines models and processes. Ensure clear communication of technical concepts to nontechnical stakeholders.
Qualifications:
Education: Bachelors degree in Computer Science Data Engineering Mathematics or a related field. Advanced degree is a plus.
Experience: 58 years of handson experience as a Data Engineer particularly with GCP services and tools. Extensive practical experience in SQL and Python is essential.
Technical Skills:
Proficiency in SQL for querying and managing large datasets.
Strong programming skills in Python for data processing and automation.
Experience with GCP services such as BigQuery Dataflow Dataproc Pub/Sub and Cloud Storage.
Expertise in data modeling and designing data architectures.
Solid understanding of ETL/ELT processes and best practices.
ProblemSolving: Demonstrated ability to tackle complex data problems and implement effective solutions.
Communication: Good verbal and written communication skills. Ability to convey technical information to a nontechnical audience.
Preferred Skills:
Experience with other cloud platforms (e.g. Azure) is a plus.
Familiarity with data visualization tools (e.g. Looker Power BI) is advantageous.
Additional Information:
Project will they be working on
Sams Merchandising Application Data Engineering.
Top 3 Skills Needed
Expertise in data modeling and designing data architectures.
Proficiency in SQL for querying and managing large datasets.
Strong programming skills in Python for data processing and automation.
Experience with GCP services such as BigQuery Dataflow Dataproc Pub/Sub and Cloud Storage.
Solid understanding of ETL/ELT processes and best practices.
Daytoday responsibilities
We are looking for an experienced GCP Data Engineer with 58 years of handson experience to join our team. The ideal candidate will have extensive practical knowledge in SQL Python data modeling and solving complex ETL/ELT challenges. In this role you will actively design develop and maintain data pipelines and architectures within Google Cloud Platform (GCP) to support datadriven decisionmaking.
The makeup of the team
This will be augmented to Data science and Analytics team in Product Ops.
Employment Type
Full Time
