Posted:1 day ago|
Platform:
Hybrid
Full Time
Minimum of 5 years of professional experience in data engineering.
Proficiency in writing complex SQL queries, including optimization techniques such as query restructuring, indexing, and materialized views.
Develop, test, and maintain scripts (Python, JavaScript/Node.js) to orchestrate data acquisition and processing workflows.
Proactively identify areas for automation and workflow efficiency; build scalable solutions for repetitive GTM/BigQuery processes. Build and maintain batch & streaming ingestion pipelines.
Validate data accuracy and collaborate with stakeholders on insights and KPIs.
Develop and leverage SQL skills; hands-on BigQuery experience is preferred.
Practical experience with Google Analytics, including implementation and reporting.
Translate client requirements into technical design and implement components for data engineering solutions.
Experience with data modeling, schema design
Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and performance bottlenecks.
Experience working in Agile/Scrum development methodologies.
Develop and maintain documentation for data models, queries, and custom functions.
Knowing Google Analytics and Google Tag Manager is a plus
Working experience in BigQuery is preferred
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