job description
Join KLK OLEO as a Senior Data Engineer and play a pivotal role in shaping and transforming our organization's data platform. In this dynamic position, you will lead the design, development, and optimization of data pipelines, ensuring seamless data flow and accessibility across the enterprise. Your expertise will drive data-driven decision-making, empowering teams to leverage insights for strategic growth.
Based in the vibrant locations of Bali, including Canggu, Ubud, and Denpasar, this role offers a unique blend of professional challenge and lifestyle flexibility. You will collaborate with cross-functional teams to build scalable data solutions, implement best practices in data governance, and innovate with cutting-edge technologies.
If you are passionate about data engineering and eager to make a significant impact in a global organization, we invite you to apply and be part of our journey toward data excellence.
Responsibility
- Design, develop, and maintain scalable data pipelines and ETL processes to support business needs.
- Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver robust solutions.
- Optimize data storage, retrieval, and processing for performance and cost efficiency.
- Implement data governance and security policies to ensure compliance and data integrity.
- Monitor and troubleshoot data pipelines to ensure reliability and uptime.
- Lead initiatives to migrate legacy systems to modern data platforms.
- Mentor junior engineers and foster a culture of continuous learning and innovation.
- Stay updated with industry trends and emerging technologies in data engineering.
Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with a strong background in building data pipelines.
- Proficiency in SQL, Python, and data processing frameworks (e.g., Spark, Hadoop).
- Experience with cloud platforms (AWS, GCP, or Azure) and big data technologies.
- Knowledge of data modeling, warehousing, and ETL tools.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Certifications in data engineering or cloud technologies are a plus.