Truelogic
Senior Data & Platform Engineer – Veterinary Technology
LATAMRemotePosted Today
Full TimeSeniorRemote
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Job Description
About TruelogicAt 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 c
Key Highlights
- Take end-to-end ownership of the data platform’s reliability, encompassing pipelines, warehousing, transformations, and observability.
- Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads.
- Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance.
- Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation.
- Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests.
Qualifications
Required Qualifications
- 5+ years of experience in data engineering or a combined data and infrastructure role, with a proven track record of building production-grade data platforms from the ground up.
- Deep expertise in Snowflake, including schema design, performance tuning, access control, and advanced cost optimization.
- Strong, hands-on experience with dbt (modeling patterns, incremental strategies, testing) and Airflow (writing DAGs, managing dependencies, debugging).
- Advanced proficiency in SQL and solid programming skills in Python for ETL and automation.
- Working knowledge of Kubernetes, with the ability to deploy workloads, read pod logs, and manage Helm charts independently.
- Extensive experience using Terraform for infrastructure provisioning, specifically for managing data platform components.
- Hands-on experience with Datadog for observability, monitoring, and SLA visibility.
- Familiarity with AWS data-adjacent services like RDS and S3.
- Fluency in utilizing AI-based development assistants to write, review, and debug code efficiently.
- Prior experience with Amazon Redshift is a plus.
- Familiarity with streaming infrastructure (Kafka, Flink) or open table formats (Iceberg, Delta Lake) is highly preferred.
- Experience with Elixir or Erlang is advantageous.
- Knowledge of data quality, cataloging, or lineage tooling (e.g., Great Expectations, Soda, Monte Carlo, DataHub, OpenMetadata) is a strong plus.
- Hands-on experience with Debezium or comparable CDC tooling, particularly in production deployments, is a strong bonus.
- Experience managing EKS Spot instances at scale is a plus.
- Background in healthcare, veterinary medicine, or similarly regulated domains requiring strict data accuracy and auditability is preferred.
- 5+ years of experience in data engineering or a combined data and infrastructure role, with a proven track record of building production-grade data platforms from the ground up.
- Deep expertise in Snowflake, including schema design, performance tuning, access control, and advanced cost optimization.
- Strong, hands-on experience with dbt (modeling patterns, incremental strategies, testing) and Airflow (writing DAGs, managing dependencies, debugging).
- Advanced proficiency in SQL and solid programming skills in Python for ETL and automation.
- Working knowledge of Kubernetes, with the ability to deploy workloads, read pod logs, and manage Helm charts independently.
- Extensive experience using Terraform for infrastructure provisioning, specifically for managing data platform components.
- Hands-on experience with Datadog for observability, monitoring, and SLA visibility.
- Familiarity with AWS data-adjacent services like RDS and S3.
- Fluency in utilizing AI-based development assistants to write, review, and debug code efficiently.
- Prior experience with Amazon Redshift is a plus.
- Familiarity with streaming infrastructure (Kafka, Flink) or open table formats (Iceberg, Delta Lake) is highly preferred.
- Experience with Elixir or Erlang is advantageous.
- Knowledge of data quality, cataloging, or lineage tooling (e.g., Great Expectations, Soda, Monte Carlo, DataHub, OpenMetadata) is a strong plus.
- Hands-on experience with Debezium or comparable CDC tooling, particularly in production deployments, is a strong bonus.
- Experience managing EKS Spot instances at scale is a plus.
- Background in healthcare, veterinary medicine, or similarly regulated domains requiring strict data accuracy and auditability is preferred.
Skills & Technologies
KubernetesTerraformSQLPythonPostgreSQLCI/CDAWSKafkaElixir
About the Company
Truelogic
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Job Details
Employment Type
Full Time
Experience Level
Senior
Location
LATAM
Work Mode
Remote
Posted
Today