**What you will do**
- Architect, build, and maintain modern and robust real-time and batch data analytics pipelines;
- Develop and maintain declarative data models and transformations;
- Implement data ingestion integrations for streaming and traditional sources such as Postgres, Kafka, and DynamoDB;
- Deploy and configure BI tooling for data analysis;
- Work closely with product, finance, legal, and compliance teams to build dashboards and reports to support business operations, regulatory obligations, and customer needs;
- Establish, communicate, and enforce data governance policies;
- Document and share best practices with regards to schema management, data integrity, availability, and security;
- Protect and limit access to sensitive data by implementing a secure permissioning model and establishing data masking and tokenization processes;
- Identify and communicate data platform needs, including additional tooling and staffing;
- Work with cross-functional teams to define requirements, plan projects, and execute on the plan.
**Must haves**
- **5+ years** of **engineering and data analytics experience**;
- Strong **SQL** and **Python/Scala** skills for complex data analysis;
- Hands-on experience building automation tooling and pipelines using **Python, Scala, Go, or TypeScript**;
- Experience with modern data pipeline and warehouse tools (e.g., **Snowflake, Databricks, Spark, AWS Glue**);
- Proficiency with declarative data modeling and transformation tools (e.g., DBT, SqlMesh);
- Familiarity with real-time data streaming (e.g., **Kafka, Spark**);




- Experience configuring and maintaining data orchestration platforms (e.g., Airflow);
- Background working with cloud-based data lakes and secure data practices;
- Ability to work autonomously and drive projects end-to-end;
- Strong bias for simplicity, speed, and avoiding overengineering;
- Upper-intermediate English level.
**Nice to haves**
- Experience with infrastructure-as-code tools (e.g., Terraform);
- Familiarity with container orchestration (e.g., Kubernetes);
- Prior experience managing external data vendors;
- Exposure to Web3 / Crypto data systems;
- Background working cross-functionally with compliance, legal, and finance teams;
- Experience driving company-wide data governance or permissioning frameworks.
**The benefits of joining us**
- **Professional growth**:Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
- **Competitive compensation**:We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
- **A selection of exciting projects**:Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
- **Flextime**:Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.
- Good luck! We're rooting for you! _
Work Location: Remote

📌 Data Infrastructure Engineer Id35383 (México)
🏢 Agileengine
📍 México