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Google Data Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or related field., 3+ years of experience in data engineering or business intelligence., Strong experience in GCP services, specifically BigQuery and DataProc., Advanced skills in Qlik and Cognos for visualization., Proficiency in SQL and understanding of ETL/ELT processes..

Key responsabilities:

Develop and maintain data pipelines using BigQuery and DataProc.
Manage GCP Storage solutions for security and scalability.
Design and implement data models, queries, and reports.
Collaborate with cross-functional teams to deliver data solutions.
Ensure data quality and compliance with governance standards.

Elfonze Technologies Scaleup https://www.elfonze.com/

201 - 500 Employees

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Job description

This is a remote position.

Key Responsibilities

Develop and maintain data pipelines using BigQuery and DataProc to support data processing, transformation, and integration from various data sources.
Manage GCP Storage solutions for data storage, ensuring security, scalability, and cost-efficiency.
Design and implement data models, queries, and reports in Qlik and Cognos to support business intelligence and reporting requirements.
Work closely with cross-functional teams to understand data needs, collaborating with data scientists, analysts, and business stakeholders to deliver effective data solutions.
Optimize and troubleshoot data processing workflows to enhance performance and reliability of data pipelines.
Ensure data quality and integrity across platforms and maintain compliance with data governance standards.
Continuously evaluate and improve data architecture, identifying opportunities to leverage new tools and methodologies for data analytics.

Required Qualifications

Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field.
3+ years of experience in data engineering or business intelligence, with strong experience in GCP services, specifically BigQuery, DataProc, and GCP Storage.
Advanced skills in Qlik and Cognos for data visualization, dashboard creation, and reporting.
Proficiency in SQL for querying, data manipulation, and integration within the GCP environment.
Understanding of ETL/ELT processes and experience with data modeling and data warehousing concepts.