Senior Data Integration Engineer

We're seeking a capable Senior Data Integration Engineer with solid AI expertise to join our organization. This role presents the opportunity to tackle intricate, high-value data projects within a cooperative, innovation-focused setting. You'll become part of a team that prioritizes technical mastery, ongoing refinement, and real-world use of sophisticated technology. For someone driven to construct dependable, well-organized data pipelines while expanding their AI knowledge, this position offers a solid trajectory for career growth

Responsibilities

• Plan and construct scalable, sustainable data integration systems that align with business and technical goals
• Partner with teams across different functions to ensure work is finished punctually and meets quality expectations
• Participate in architecture-focused discussions, sharing input that helps direct data integration project outcomes
• Assess code authored by fellow engineers, offering constructive notes that maintain strong engineering standards
• Diagnose and resolve intricate technical problems that emerge throughout the data pipeline's lifecycle
• Help junior colleagues grow by passing along knowledge that builds their technical competencies
• Engage in planning conversations, assisting with scope outlines and delivering reliable time projections
• Keep pace with changing technology trends and incorporate beneficial new methods into regular work
• Preserve organized documentation of significant technical decisions and data processes to support system longevity
• Collaborate directly with stakeholders to define clear goals and confirm finished work matches expectations

Requirements

• At least three years of applicable, hands-on professional background
• Hands-on familiarity with AI principles and tools, used to enhance data integration solution design
• Advanced command of Python for developing and sustaining data integration systems
• Direct experience operating within cloud infrastructure built on Amazon Web Services
• Strong background in Data Integration, linking and unifying information from varied sources
• Able to apply SQL for organizing, managing, and extracting information from relational databases
• Working knowledge of NoSQL database systems for managing unstructured or semi-structured content
• Awareness of CI/CD practices that support consistent, automated releases for software and pipelines
• Functional understanding of Google Cloud Platform for managing and deploying cloud-centered data solutions
• Background working with Apache Airflow for coordinating and scheduling data-related workflows
• Hands-on familiarity with Databricks or Snowflake for handling large-scale data processing and analysis
• Practical skill with Apache Spark for handling and analyzing extensive datasets
• Familiarity with SDLC Methodologies and their application in supporting organized, efficient project work
• Background operating within Agile structures to support collaborative, iterative development cycles
• Confident English communication abilities at a B2 level or above