Data Engineer

Join to apply for the Data Engineer role at Holaluz Join to apply for the Data Engineer role at Holaluz Are you a data-driven innovator ready to shape the future?Join our team as a Data Engineer, where you'll play a crucial role in transforming raw data into valuable insights that drive business decisions. You'll work alongside a talented team of data scientists, analysts, and engineers to design, develop, and maintain robust data pipelines and infrastructure.Key ResponsibilitiesDesign and Implement Scalable Data Pipelines: Design, implement, and maintain efficient data pipelines using cloud technologies to reliably and efficiently produce business-critical data. Data Acquisition and Transformation: Collect, process, and clean data from diverse sources using SQL, Python, and other scripting languages. Data Modeling and Warehousing: Assemble large, complex data sets that meet functional and non-functional business requirements, and design and optimize data models for efficient query performance and analytics. Data Quality and Governance: Ensure data quality and consistency through rigorous validation and cleaning processes. Implement data governance and security best practices to protect sensitive information. Data Tooling and Automation: Create data tools and automate data ingestion, transformation, and loading processes to streamline workflows and improve efficiency. Collaboration and Knowledge Sharing: Collaborate with data scientists, analysts, and engineers to provide access to clean, reliable, and well-structured data. Mentor and share technical expertise with team members. Stay Ahead of the Curve: Stay up-to-date with the latest data technologies and industry trends to drive innovation. What We’re Looking ForEducation & Experience:Bachelor's degree in Computer Science, Engineering, or a related field. 2-3 years of experience as a Data Engineer or similar role. Key Skills & AttributesStrong Technical Proficiency: Advanced proficiency in SQL and Python. Experience with data engineering tools and frameworks (e.g., Airflow, DBT). Cloud Expertise: Knowledge of cloud platforms (AWS) and data warehousing concepts (Snowflake, Redshift, BigQuery). Data Pipeline Development: Experience designing and building scalable and robust data pipelines to enable data-driven business decisions. Data Modeling and Analysis: Experience with data modeling and data warehousing techniques. Strong analytical and problem-solving skills. Data Quality and Governance: Experience in data quality assurance, data validation, and data security best practices. Collaboration and Communication: Strong communication and collaboration skills. Ability to work independently and as part of a team. Automation and Tooling: Experience with automation tools (e.g., Docker, Airflow) and creating data tools to improve efficiency. API Integration: Experience importing and transforming data from third-party APIs. Why Join Us?This role offers an opportunity to work on cutting-edge data projects and contribute to the growth of our organization. If you're passionate about data, eager to learn, and thrive in a collaborative environment, we encourage you to apply. Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology Industries Services for Renewable Energy Referrals increase your chances of interviewing at Holaluz by 2x Sign in to set job alerts for “Data Engineer” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr