**Company Description** At KMS Technology, we are dedicated to delivering cutting\-edge solutions and services that empower businesses to achieve their goals. Our team is composed of highly skilled professionals who are passionate about technology and innovation. We provide a dynamic and collaborative work environment where you can grow your career and make a significant impact. **Job Description** We're looking for a highly skilled **Senior Data Engineer** to join our team. This critical role involves managing massive volumes of high\-velocity, high\-cardinality data generated by real\-time processing systems, primarily in the Computer Vision domain. The ideal candidate possesses deep expertise in **TimescaleDB** for efficient storage and querying, proficiency with cloud\-based object storage, and familiarity with the specialized NVIDIA ecosystem, including **DeepStream**, **GPUs, and Trident**, to ensure data integrity and flow from the edge to the analytics platform. **Responsibilities:** **Data Architecture \& Storage** * Design, build, and optimize high\-throughput data pipelines using modern tools to ingest streaming data from various sources into our core data platform. * Serve as the subject matter expert for TimescaleDB, managing schema design, performance tuning, compression policies, and data retention strategies for petabytes of time\-series data. * Architect and manage the tiered storage strategy, leveraging cloud\-based storage solutions (e.g., S3, GCS) for cold storage and archival of raw and processed data. * Ensure data models are scalable and optimized for both real\-time operational queries and large\-scale analytical processing. **Real\-Time \& Computer Vision Integration** * Collaborate with ML and Computer Vision teams to integrate the data pipeline with NVIDIA DeepStreamapplications, managing metadata and telemetry extracted from video streams. * Develop solutions that utilize NVIDIA GPUs effectively, particularly concerning how derived data is ingested and processed immediately after the visual inferencing stage. * Familiarity with NVIDIA Trident storage orchestration is desirable for managing persistent volumes in Kubernetes environments hosting vision applications. * Implement data quality checks and validation processes to ensure the high integrity of timestamps and measurement data from the edge devices. **Engineering Excellence \& Collaboration** * Apply expert\-level proficiency in a major programming language (Python or Scala preferred) for ETL/ELT pipeline development and tooling. * Drive the adoption of best practices, including Infrastructure as Code (IaC) and comprehensive monitoring (e.g., Prometheus/Grafana) for the data platform components. * Provide technical guidance and mentorship to junior team members, fostering a culture of high performance and technical rigor. **Qualifications*** Minimum of 5\+ years of professional experience in Data Engineering, focusing on high\-volume data platforms or distributed systems. * Expert proficiency with TimescaleDB (PostgreSQL), including experience managing production instances, hypertable partitioning, and continuous aggregates. * Demonstrated experience designing and managing large\-scale data lakes or warehouses utilizing cloud\-based object storage (AWS S3, Azure Blob Storage, or GCP Cloud Storage). * Deep experience with streaming platforms (e.g., Apache Kafka, Flink) and real\-time data ingestion patterns. * Proficiency in modern programming languages (e.g., Python, Scala, or Go) for data processing and pipeline orchestration. **Preferred Skills \& Domain Knowledge** * Familiarity with the NVIDIA Computer Vision stack, including concepts related to DeepStream, NVIDIA GPUs, or edge\-to\-cloud data flow. * Experience or strong understanding of the requirements for storing and retrieving high\-dimensional time\-series data (e.g., sensor data, telemetry, and machine learning metadata). * Experience with containerization and orchestration (Docker, Kubernetes) in the context of data processing jobs. * Familiarity with database security protocols and compliance requirements for sensitive data. **Additional Information** ***Perks you enjoy at KMS******Mexico*** * Mexican law benefits * 15 days of PTO (in year zero, from the first year onwards it is 3 days per year). * 5 days' leave for the death of immediate family members, negotiable. * Major Medical Expenses Insurance with coverage for immediate dependents (spouse and children). * Annual performance bonus (10% of annualized salary). * Annual salary adjustment. * Employee Referral Bonus. * Paid Certifications / Courses * Coursera License. * 5% Savings Fund. * 5% Grocery Vouchers.