Sr. Data Engineer

Posted 2 months agoViewed

💎 Seniority level: Senior, 5+ years

📍 Location: Mexico

🔍 Industry: Software Development

🗣️ Languages: English

⏳ Experience: 5+ years

🪄 Skills: PythonSQLETLGitSnowflakeTableauAirflowData engineeringREST APICI/CDData modelingDebugging

5+ years of experience as a Data Engineer
Snowflake architecture expertise for multi-tenant B2B applications
Performance optimization for customer-facing data models and analytics.
Advanced SQL skills for complex query optimization
Proficiency in Python, Scala, or Go for data pipeline development
Experience analyzing source data structures and recommending improvements
Ability to collaborate with engineering teams on data design
Experience with ETL/ELT pipelines (Airflow, dbt)
Integration experience with Power BI, Tableau, and Sigma
Mentoring skills for report creation using BI tools
Data quality management for customer-facing products
Experience with GitHub/source control and CI/CD pipelines (GitHub Actions or Jenkins)
Understanding of multi-tenant data security and governance

Evaluate and improve data models and schemas in Snowflake to enhance our B2B analytics products.
Analyze BI warehouse views and identify structural improvements at the source, collaborating with engineering teams to recommend beneficial changes for downstream BI products.
Optimize ETL/ELT pipelines for timely and reliable data synchronization.
Improve query performance and storage efficiency while controlling costs.
Enhance data quality monitoring and validation processes.
Work with product management to translate customer requirements into data solutions.
Guide team members and customers in creating effective reports using Power BI, Tableau, and Sigma.
Improve data lineage documentation and warehouse architecture.
Monitor and resolve pipeline issues to prevent service disruptions.
Implement improvements to multi-tenant data architecture for better data isolation and resource utilization.

Posted 7 months ago

📍 LATAM

🔍 Software Development and Talent Staffing

🏢 Company: Moovx

🔧 Requirements

At least 1-3 experience with ETL support and development and analytical Python experience.
Strong SQL query writing skills.
Experience with AWS Lambda or similar serverless ingestion pipelines.
Experience with GraphQL APIs and API ingestion best practices.
Comfortable working with Git and deployment pipelines.
A detailed-oriented problem solver.

💡 Responsibilities

Work closely with product and Engineering teams to support Business Operations data platforms.
Design and implement best practices around data cleanliness and schema design to provide a best in class real time data set.
Built and support automation pipelines in AWS from third party SaaS providers into a first party data warehouse for analytics systems.
Work directly with the CTO and other stakeholders on delivering the best data for dashboards powered by Looker.
Build reusable products and systems that can effectively ingest data to leverage across all business teams.
Automate the influx of data and build flexible solutions for data acquisition, ETL, and other automated pipelines.
Support new feature developments between data sources for the client's own ingestion, reporting, and analysis platforms.
Work with the data team and business stake-holders on architecture, capabilities, best practices and solutions to build out future enhancements.

AWSGraphQLPythonSQLETLGitBusiness OperationsServerlessProblem Solving

Posted 7 months ago