Truelogic

Software

SeniorDatabaseAdministrator/DataEngineer(Snowflake)-SoftwareIndustry

₹35–60L ~AI est. Santo Domingo FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Database Administrator / Data Engineer (Snowflake) - Software Industry at Truelogic. Skills: Snowflake Administration, Data Pipeline Execution, Query Performance Tuning, Database Operations. Own Snowflake performance. Own Snowflake administration”

Industry & Context.

Software
Problems you'll solve

Troubleshooting performance issues

What They're Looking For.

Must Have

5+ years experience in Database Administration, 5+ years experience in Database Engineering, 5+ years experience in Data Engineering, 3+ years recent hands-on Snowflake experience, Deep hands-on PostgreSQL experience, Experience managing PostgreSQL in AWS, Experience tuning PostgreSQL in AWS, Exceptional SQL profiling skills, Experience with execution plan analysis, Experience with partition strategies, Experience with index optimization, Proven ETL/ELT experience, Experience using AWS DMS, Absolute proficiency with Git

Nice to Have

Python scripting experience, Automation experience, Experience with CDC technologies, Experience with real-time streaming platforms, Bash/Shell scripting experience, Familiarity with monitoring tools

What You'll Do.

Own Snowflake performance

Own Snowflake administration

Own Snowflake monitoring

Own Snowflake cost optimization

Ensure efficient data loading

Ensure warehouse utilization

Ensure platform scalability

Build ETL/ELT pipelines

Manage ETL/ELT pipelines

Monitor ETL/ELT pipelines

Consolidate data into Snowflake

Diagnose query bottlenecks

Rewrite sub-optimal queries

Optimize database indexes

Tune database configurations

Oversee database health

Oversee backup strategies

Oversee security compliance

Oversee database scaling

Review database schemas

Review database queries

Serve as escalation point

Ensure minimal downtime

Ensure high availability

How You'll Work.

Team & Collaboration

Partner with Software Engineers; Review queries with Engineers

Full Job Description

ABOUT TRUELOGIC At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals. Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference. By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.   OUR CLIENT Our client is a technology company specializing in large-scale customer engagement and communication solutions. Their platform processes high volumes of real-time transactional and customer interaction data, helping organizations deliver personalized experiences at scale. JOB SUMMARY We are seeking a Senior Database Administrator / Data Engineer with strong Snowflake expertise to take ownership of our production data platform, database performance, and data movement processes. In this role, you will be responsible for optimizing and maintaining our Snowflake and AWS PostgreSQL environments, building and managing ETL/ELT pipelines, auditing and tuning SQL queries, and ensuring reliable, scalable, and cost-efficient data operations across a high-volume production platform.   RESPONSIBILITIES - Snowflake Administration & Optimization: Own the performance, administration, monitoring, and cost optimization of our Snowflake environment. Ensure efficient data loading, warehouse utilization, and platform scalability. - Data Pipeline Execution (ETL): Build, manage, and monitor

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