Lifted, an Upwork Company

Technology

SeniorDataEngineer

₹35–60L ~AI est. Mexico City, CDMX, MX CONTRACT Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“Senior Data Engineer at Lifted, an Upwork Company. Skills: Data pipelines, Snowflake data models, Dbt transformations, Data observability. Build scalable data pipelines. Optimize scalable data pipelines”

What You'll Achieve.

Support analytics; Support reporting; Support business decision-making

Industry & Context.

Technology
Problems you'll solve

Troubleshooting; Issue resolution

Eligibility Requirements

LATAM-based candidates, Overlap with U.S. hours, 40 hours per week

What They're Looking For.

Must Have

SQL skills, Python experience, Snowflake experience, Dbt experience, AWS familiarity, ETL/ELT workflows experience, Monitor pipeline health, Troubleshoot workflow issues, Improve data reliability, Improve data quality, Communication skills

Nice to Have

Dagster or similar orchestration experience, Marketplace analytics data products experience, Hiring analytics data products experience, Performance analytics data products experience, Business analytics data products experience, Dashboarding experience, Reporting experience

What You'll Do.

Build scalable data pipelines

Optimize scalable data pipelines

Design Snowflake warehouse structures

Maintain Snowflake warehouse structures

Design database tables

Maintain database tables

Design performant data models

Maintain performant data models

Develop reliable ETL/ELT workflows

Maintain data quality

Maintain data consistency

Improve pipeline reliability

Monitor pipeline health

Troubleshoot workflow issues

Resolve issues proactively

Support reporting needs

Support dashboard needs

Provide actionable insights

How You'll Work.

Team & Collaboration

Cross-functionally; Clarify requirements; Communicate progress; Ensure transparency

Communication Scope

Business stakeholders

Full Job Description

We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. This role will focus on building and maintaining reliable data pipelines, Snowflake data models, dbt transformations, and observability practices that support analytics, reporting, and business decision-making. Enterprise experience strongly preferred. Key Responsibilities - Build and optimize scalable data pipelines using Python and dbt. - Design and maintain Snowflake warehouse structures, database tables, and performant data models. - Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources. - Maintain data quality and consistency across analytics and reporting workflows. - Improve pipeline reliability through monitoring, data observability, troubleshooting, and proactive issue resolution. - Support reporting and dashboard needs that provide actionable insights for business stakeholders. - Collaborate cross-functionally to clarify requirements, communicate progress, and ensure transparency across initiatives. ## Qualifications Must-Have Skills - Strong SQL skills for querying, transforming, validating, and optimizing data. - Python experience for scalable data pipelines, automation scripts, and data processing workflows. - Hands-on Snowflake experience designing and maintaining warehouse structures, tables, and data models. - dbt experience developing modular transformations, tests, and documentation within modern ELT workflows. - AWS familiarity for scalable data storage, processing, and pipeline orchestration. - Experience building reliable ETL/ELT workflows across multiple data sources. - Ability to monitor pipeline health, troubleshoot workflow issues, and improve data reliability and quality. - Strong communication skills and ability to partner cross-functionally with technical and business stakeholders. Nice-to-Have Skills - Dagster or similar orchestration experience. - Experience supporting

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