GCP Data Engineer - A6773
Job Summary
Job Description
4 skills required
Job Details
Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development. Founded in 2000 with the customer-centric motto “Building Success Together®,” Nisum has grown to over 1,800 professionals across the United States, Chile,Colombia, India, Pakistan and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today’s world, with immersive and seamless experiences across digital and physical channels.
What You'll Do
- Design, develop, and implement data solutions for Contact Center with a primary focus on BigQuery.
- Design and implement data pipelines using GCP services such as Dataflow with Cloud Composer, DataFlow and Big Query
- Collaborate with business units and stakeholders to gather requirements and provide project estimates.
- Oversee the full lifecycle of data engineering projects from inception to deployment.
- Manage legacy ETL processes and utilize Talend for data transformation.
- Build and optimize data pipelines to support high-volume retail operations.
- Collaborate with cross-functional teams to ensure data quality and integrity.
- Stay up-to-date with the latest GCP services and technologies.
What You Know
- Minimum 5+ years of experience as a Data Engineer with a focus on GCP services.
- Strong proficiency in GCP services mainly Big Query
- Strong proficiency in SQL and large-scale data processing.
- Proficiency in SQL and Python for data manipulation and analysis.
- Solid understanding of data warehousing concepts and ETL processes.
- Experience with real-time data processing and Contact Center analytics
Nisum is an Equal Opportunity Employer and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace.
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