3 days ago

Senior Data Engineer (Snowflake/SQL) - Software Industry

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Reposted: first listed 3 days ago

Job Summary

Own production database performance and data movement for a high-volume customer engagement platform. Build and monitor robust ETL/ELT pipelines that move data from multiple AWS PostgreSQL (RDS/Aurora) instances into Snowflake. Continuously audit and tune SQL queries using execution plan analysis, index optimization, and configuration tuning, while overseeing database operations, backups, and scaling. Serve as the senior escalation point to maintain high availability and minimize downtime.

Location: São Paulo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build, manage, and monitor ETL/ELT pipelines consolidating data from multiple AWS PostgreSQL instances into Snowflake.
•Continuously audit SQL queries and tune performance by diagnosing bottlenecks, rewriting queries, optimizing indexes, and tuning configurations.
•Oversee day-to-day database health, backups, security compliance, and scaling for PostgreSQL (AWS RDS/Aurora) and Snowflake.
•Partner with software engineers to review database schemas and queries before production, advising on SQL best practices.
•Serve as the senior escalation point for database performance issues to ensure minimal downtime and high availability.

Pay and Benefits

Perks:Remote WorkPaid Leave

Key Requirements

•5+ years of experience in a heavily database-focused data engineering role.
•Strong Snowflake experience, including data loading, performance tuning, and warehouse cost management.
•Deep hands-on PostgreSQL expertise within AWS (RDS or Aurora).
•Advanced SQL profiling skills, including EXPLAIN, partition strategies, and index optimization.
•Proven ETL/ELT pipeline experience using tools such as dbt, Airflow, AWS Glue, or custom Python scripting.

Experience:5+ yearsReal-time transactional dataCustomer engagement

Skills:CollaborationTroubleshootingData-driven decision makingAdvising

Tech Stack:SnowflakeSQLAWS PostgreSQLPostgreSQLAWS RDSAuroraETLELTDbtAirflowAWS GluePythonAWS Data Migration Service (DMS)GitEXPLAINDebeziumFivetranKafkaKinesisBash/Shell

Company Brief

TrueLogic

TrueLogic builds custom web and mobile applications, offering product engineering, UX/UI design, and team augmentation services. They partner with startups and enterprises to deliver scalable software solutions, cloud integrations, and ongoing technical support.

Industry: Professional Services

Website

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TrueLogic

3 days ago

Senior Data Engineer (Snowflake/SQL) - Software Industry

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 7 hours agoStatus: Live

Reposted: first listed 3 days ago

Job Summary

Location: São Paulo

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Build, manage, and monitor ETL/ELT pipelines consolidating data from multiple AWS PostgreSQL instances into Snowflake.
•Continuously audit SQL queries and tune performance by diagnosing bottlenecks, rewriting queries, optimizing indexes, and tuning configurations.
•Oversee day-to-day database health, backups, security compliance, and scaling for PostgreSQL (AWS RDS/Aurora) and Snowflake.
•Partner with software engineers to review database schemas and queries before production, advising on SQL best practices.
•Serve as the senior escalation point for database performance issues to ensure minimal downtime and high availability.

Pay and Benefits

Perks:Remote WorkPaid Leave

Key Requirements

•5+ years of experience in a heavily database-focused data engineering role.
•Strong Snowflake experience, including data loading, performance tuning, and warehouse cost management.
•Deep hands-on PostgreSQL expertise within AWS (RDS or Aurora).
•Advanced SQL profiling skills, including EXPLAIN, partition strategies, and index optimization.
•Proven ETL/ELT pipeline experience using tools such as dbt, Airflow, AWS Glue, or custom Python scripting.

Experience:5+ yearsReal-time transactional dataCustomer engagement

Skills:CollaborationTroubleshootingData-driven decision makingAdvising

Tech Stack:SnowflakeSQLAWS PostgreSQLPostgreSQLAWS RDSAuroraETLELTDbtAirflowAWS GluePythonAWS Data Migration Service (DMS)GitEXPLAINDebeziumFivetranKafkaKinesisBash/Shell

Company Brief

TrueLogic

Industry: Professional Services

Website