Associate Manager, Data Engineer

Job Description

Role Overview A Data Engineer is responsible for designing, building, and maintaining robust data pipelines and infrastructure that facilitate the collection, storage, and processing of large datasets. They collaborate with data scientists and analysts to ensure data is accessible, reliable, and optimized for analysis. Key tasks include data integration, ETL (Extract, Transform, Load) processes, and managing databases and cloud-based systems. Data engineers play a crucial role in enabling data-driven decision-making and ensuring data quality across organizations. What will you do in this role Design, implement, and maintain complex data engineering solutions to acquire and prepare data. Create and maintain data pipelines to connect data within and between data stores, applications, and organizations. Support and monitor the implementation of information, record management policies, standard practice, effective control for internal delegation, audit, and control relating to information and records management. Identify issues related to software development activities and propose practical solutions to resolve issues. Establish, modify, maintain, and communicate the details of the data structures and associated components to others using the data structures, standard data modeling, and design techniques. Prepare design options for the working environment of methods, procedures, techniques, tools, and people. Select systems and software life cycle (SDLC) working practices for software components and micro-services. Create and document detailed designs for simple data applications and components. Contribute to the design of components of larger data systems. Establish, modify and maintain data structures, data pipelines and associated components. Work within a matrix organizational structure, reporting to both the functional manager and the project manager. Participate in project planning, execution, and delivery, ensuring alignment with both functional and project goals. What should you have Bachelors degree in Information Technology, Computer Science or any Technology stream. 1+ years of developing data pipelines & data infrastructure, ideally within a drug development or life sciences context. Demonstrated expertise in delivering large-scale information management technology solutions encompassing data integration and self-service analytics enablement. Experienced in software/data engineering practices (including versioning, release management, deployment of datasets, agile & related software tools). Strong working knowledge of at least one large-scale data processing technology (e.g., High-performance computing, distributed computing), databases, and underlying technology (cloud or on-prem environments, containerization, distributed storage & databases) Cloud-native, ideally AWS certified. Good interpersonal and communication skills (verbal and written). Proven record of delivering high-quality results. Product and customer-centric approach. Innovative thinking, experimental mindset.