Senior Data Science Engineer
1 week ago
About PALO IT Group
">PALO IT Group is a global technology consultancy that crafts tech as a force for good, driving innovation and sustainability through our digital and sustainable products and services.
">We're dedicated to unlocking value across the triple bottom line: people, planet, and profit, leveraging our expertise in big data and data engineering to make a positive impact.
">We're proud to be a World Economic Forum New Champion and a B Corp-certified company, recognized for our commitment to social and environmental responsibility.
">Your Role
">The Senior Data Engineer will play a critical role in designing, developing, and maintaining robust and scalable data pipelines, data warehouses, and data lakes, ensuring efficient data storage and retrieval mechanisms.
">You'll collaborate with cross-functional teams to understand client needs, providing technical expertise and delivering solutions that meet business objectives, while staying up-to-date with emerging technologies and industry trends.
">Key Responsibilities
">- ">
- Design and implement data pipelines, ensuring high-quality data ingestion, transformation, and processing.">
- Develop and maintain data warehouses and data lakes, optimizing for performance, cost-effectiveness, and reliability.">
- Collaborate with data scientists and analysts to understand data needs and deliver solutions that meet business objectives.">
- Stay current with emerging technologies and industry trends, evaluating and implementing innovative solutions to improve data processing capabilities.">
Requirements
">- ">
- A Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.">
- Excellent knowledge of big data technology landscapes and concepts related to distributed storage and computing.">
- Experience with big data frameworks (e.g., Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR).">
- Strong understanding of data modeling, data governance, and data quality principles.">
- Experience with cloud-based platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker).">
- Familiarity with DevOps and DataOps principles (e.g., Infrastructure as Code, automation).">
- High-level understanding of Data Science concepts and methodologies.">
About Us
">We prioritize diversity, equity, and inclusion, fostering a workplace culture that values collaboration, creativity, and continuous learning.
">We strive to create a positive impact, not just for our clients but also for our employees, promoting work-life balance and recognizing individual contributions.
">What We Offer
">Challenging roles that drive growth and development.
">Opportunities for professional growth and mentorship.
">Diverse and inclusive workplace culture.
">Competitive compensation and benefits package.
">Flexible work arrangements to promote work-life balance.
">PALO IT Group Singapore is an equal opportunity employer, committed to fair and equitable treatment of all applicants and employees.
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