Hey there, future Data Engineer at Enlitia! 🌟 Ready to revolutionize renewable energy data? Join us in challenging the status quo. As a Data Engineer, you'll sync and harmonize global wind and solar data, forming the backbone for machine learning, process optimization, and operational excellence. You'll design and develop data engineering pipelines using the best tools to ensure data availability and consistency. Collaborate with cross-functional teams and communicate results effectively. If you're organized, motivated, and passionate about sustainability, we'd love to hear from you!
Key Responsibilities
- Data Integration: Integrate new data sources, ensuring data consistency, reliability, and efficiency—like making sure all your ducks (or bytes) are in a row.
- Database Management: Develop and optimize databases and data warehouses for top performance and reliability—because nobody likes a sluggish database. 🚀
- ETL Processes: Create and manage ETL processes to move and transform data effectively—consider yourself the ultimate data mixologist. 🍹
- Data Quality: Implement robust data quality checks to ensure data integrity throughout its lifecycle—keeping those data gremlins at bay.
- Performance Tuning: Optimize data systems and pipelines for peak performance and scalability—because who doesn’t want their data to run like a well-oiled machine?
- Documentation: Document data processes, architectures, and pipelines comprehensively—so future you doesn’t have to play detective.
- Compliance: Ensure all data practices comply with relevant privacy and security regulations—keeping everything above board and out of trouble.
- Collaboration: Work closely with data scientists, analysts, and stakeholders to understand data requirements and deliver effective solutions—be the data whisperer everyone loves. 💬
Minimum Requirements
Requirements
- Hold a BSc, MSc, or PhD in Computer Science, Electronic Engineering, Biomedical Engineering, Statistics, Mathematics, or Physics—because we like our Data Engineers powered up. 🎓
- 3+ years of experience in data engineering or a related field. Show us your analytical battle scars (metaphorical, of course).
- Proven experience with data pipelines design and orchestration, ideally with time-series data. Your data prowess speaks for itself. 📈
- Proficiency in programming languages, mainly Python and SQL, as well experience with OOP, Unix and Git. You're a coding ninja with these tools. 🥷
- Experience managing and manipulating relational databases. Knowledge about non-relational databases is a plus.
- Strong knowledge of ETL processes and data warehousing. You're the architect of our data world.
- Familiarity with data visualization and dashboarding tools (e.g., Grafana, PowerBI). You make data come to life. 📊
- Understanding of big data frameworks and tools (e.g., Hadoop, Spark) is a plus. Big data challenges are your playground.
- Excellent problem-solving and analytical skills. No puzzle is too complex for you. 🧩
- Strong communication and presentation abilities. You turn complex data into compelling stories.
- Ability to work collaboratively in a team environment. Collaboration is your middle name (literally). 🤝
- Attention to detail and a commitment to data quality. You ensure our data is always top-notch.
Interested?? Click me to apply
Medium Level
Type Fixed
Duration: More than 06 months