Principal Data Engineer

Nexaminds; Mexico; On-site; PHP 2,583,000 - 3,690,000; Full time

Benefits offered by this job

Stock options

Remote work options

Flexible working hours

Benefits above the law

Mentorship and learning opportunities

Job summary

Nexaminds is seeking a senior data engineer to own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.

You will design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans, while establishing data quality practices and automation. Collaboration with Platform/SRE and strong English communication are required.

Qualifications

• 7+ years of experience in data engineering roles delivering production systems.
• Strong SQL skills and experience modeling data for analytics and operational reporting.
• Hands-on experience with Snowflake including transformations, backfills, and performance-aware querying.
• Strong experience with Postgres or similar operational databases including schema design, bulk loading strategies, and migration concepts.
• Experience building robust batch processes including retries, throttling, idempotency, and operational monitoring.
• Demonstrated track record of creating data quality, reconciliation, and auditability controls.
• Comfort working in AWS environments and collaborating on IAM and permissions boundaries.
• Advanced English communication skills are required.

Responsibilities

• Own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.
• Design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans.
• Establish and execute data quality and validation practices including automated checks, anomaly detection, reconciliation reporting, and provenance/auditability.
• Support event-driven data correctness by validating Kafka semantics, consumer behavior, and downstream dependencies during batch operations and migrations.
• Build migration tooling and safety rails for datastore and API migrations including parity checks, cutover sequencing, and rollback validation.
• Partner with Platform/SRE to ensure production operations are safe, observable, and supportable.
• Produce clear artifacts for stakeholders including runbooks, cutover checklists, validation results, and post-mortem follow-ups when needed.

Skills

SQL proficiency

Data modeling

Snowflake

PostgreSQL

Batch processing

Data quality controls

AWS

English communication

Tools

Snowflake

PostgreSQL

Kafka

AWS

Job description

Unlock Your Future with Nexaminds! At Nexaminds, we're on a mission to redefine industries with AI. We're passionate about the limitless potential of artificial intelligence to transform businesses, streamline processes, and drive growth. Join us on our visionary journey. We're leading the way in AI solutions, and we're committed to innovation, collaboration, and ethical practices. Become a part of our team and shape the future powered by intelligent machines. If you're driven by ambition, success, fun, and learning, Nexaminds is where you belong.

Location: MEXICO

Eligibility Notice

This position is only open to candidates who are Mexican citizens currently residing in Mexico. Applications from candidates who do not meet this legal and operational requirement will not be considered. We appreciate your interest and encourage you to apply to roles that match your location.

Qualifications we are looking for:

• 7+ years of experience in data engineering roles delivering production systems, including operating and troubleshooting pipelines in live environments.
• Strong SQL skills and experience modeling data for analytics and operational reporting.
• Hands-on experience with Snowflake including transformations, backfills, and performance- aware querying.
• Strong experience with Postgres or similar operational databases including schema design, bulk loading strategies, and migration concepts.
• Experience building robust batch processes including retries, throttling, idempotency, and operational monitoring.
• Demonstrated track record of creating data quality, reconciliation, and auditability controls.
• Comfort working in AWS environments and collaborating on IAM and permissions boundaries.
• Ability to collaborate across functions and communicate status, risk, dependencies, and decisions clearly.
• Advanced English communication skills are required.

Job duties:

• Own and deliver production-grade ingestion and transformation pipelines across operational and analytical systems.
• Design and run bulk data onboarding and backfills with batching, monitoring, idempotency, and rollback plans.
• Establish and execute data quality and validation practices including automated checks, anomaly detection, reconciliation reporting, and provenance/auditability.
• Support event-driven data correctness by validating Kafka semantics, consumer behavior, and downstream dependencies during batch operations and migrations.
• Build migration tooling and safety rails for datastore and API migrations including parity checks, cutover sequencing, and rollback validation.
• Partner with Platform/SRE to ensure production operations are safe, observable, and supportable.
• Produce clear artifacts for stakeholders including runbooks, cutover checklists, validation results, and post-mortem follow-ups when needed.

What you can expect from us

Here at Nexaminds, we're not your typical workplace. We're all about creating a friendly and trusting environment where you can thrive. Why does this matter? Well, trust and openness lead to better quality, innovation, commitment to getting the job done, efficiency, and cost-effectiveness.

• Stock options
• Remote work options
• Flexible working hours
• Benefits above the law
• But it's not just about the work; it's about the people too. You'll be collaborating with some seriously awesome IT pros.
• You’ll have access to mentorship and tons of opportunities to learn and level up.