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Data Engineer

Position Title: Data Engineer

Location: Brazil

Company Overview: Lean Layer specializes in fractional RevOps services, tailoring strategies to individual business needs and optimizing go-to-market operations. The firm enhances clients' GTM stacks, increases marketing-attributed revenue, and assists in areas like account scoring, forecasting, and tech stack optimization. With deep knowledge in revenue operations, Lean Layer stands out for its strategic vision alignment, enhancing forecasting accuracy, sales performance, and understanding the entire customer journey.

Job Summary:

Lean Layer is seeking a Data Engineer to enhance our ETL and data visualization infrastructure. This position plays a key role in efficiently managing client data, ensuring seamless integration, and revealing key insights to drive revenue growth for our customers. 

We are a RevOps and BI consulting services company working with B2B tech and media companies in the United States. Our customers have different data landscapes (i.e. their CRMs and marketing automation tools are configured in unique ways) but the systems they use are largely the same.

We looking for a strategic thinker who can build and manage a common infrastructure that can be applied to all of our customers. Our goal is to make the ETL process seamless for each new customer we onboard. Making sense of their data, visualize it, and extract insights from it should not take more than 2 weeks end-to-end. The right candidate will be able to actualize this vision.

• Build and manage scalable data infrastructure to support ETL processes and data visualization.
• Create robust data pipelines to facilitate data flow from various sales and marketing systems.
• Improve infrastructure for easy client onboarding and complex data source integration.
• Help audit data issues and discrepancies so that our consultants can help our customer ensure CRM data integrity and consistency.
• Link data across systems to provide comprehensive analytics, assisting in data-driven decision-making.
• Work with analytics teams to transform business requirements into scalable data models.
• Adopt new technologies to boost infrastructure and analytics capabilities where necessary 

Qualifications

• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.
• Over 5 years in data engineering with a focus on ETL and data infrastructure.
• Expert in SQL and programming (Python or Java Script).
• Knowledgeable in Salesforce CRM, marketing data, cloud services, and data warehousing.
• Proficient in improving CRM data quality.
• Excellent analytical, problem-solving, and multitasking skills.
• Fluent in English with strong communication abilities.
• Adaptable, strategic thinker with experience in a fast-paced startup environment.

Additional Skills:

• Python scripting and automation.
• Experience with ChatGPT APIs and GCP management.

Additional Information:

This role is pivotal in leveraging data for strategic client growth within a creative, professional development-focused environment. Lean Layer values diversity and encourages all interested candidates to apply.