TechMojo Solutions
From TechMojo Solutions's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
What your day could consist of: Architect and Build Pipelines by designing, developing, and maintaining high-throughput data pipelines that seamlessly transform data across our ecosystem Execute Data Modeling and Schema Design , utilizing DDL and DML operations to optimize data structures for both performance and long-term scalability Champion Engineering Excellence by implementing automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform) to ensure system health and reliability . Collaborate Cross-Functionally with Data Science and AI teams to engineer feature stores and automated MLOps pipelines, moving cutting-edge research into live production environments Drive System Monitoring and health checks, ensuring our containerized and orchestrated environments (Kubernetes, Docker, Airflow) run at peak efficiency . Act as a Technical Advisor to stakeholders, translating complex data architectures into clear, non-technical conversations that guide business decisions Technical environment: Databases: MySQL, Amazon Aurora, Amazon RDS, PostgreSQL ata Storage and Analytics: AWS S3, Apache Iceberg, Snowflake, Apache Druid, Looker Data Processing and Transformation: Apache Spark, DBT Languages: Python (primary) Infrastructure as Code: Terraform Containerization and Orchestration: Kubernetes, Docker, Airflow The Ideal Candidate Will Bring: 4+ years of professional software engineering experience , with a proven track record of building and maintaining production-grade data systems . Deep Data Architecture expertise , with the ability to design modern data stack components and schemas that balance immediate performance with future growth . Proficiency in Infrastructure as Code , specifically using Terraform to manage and deploy your own infrastructure . A high level of software rigor , including a strong background in automated testing, CI/CD, and general software engineering best practices Expert-level SQL skills (particularly MySQL), with a focus on optimizing complex queries for maximum performance . Experience in a modern technical environment , ideally having worked with Python, AWS (S3, Aurora, RDS), Snowflake, Apache Spark, and DBT Exceptional communication skills , with the talent to distill complex technical concepts into clear, actionable insights for both technical and non-technical peers
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