Are you a passionate Data Engineer with a vision for shaping the future of data analytics? We're seeking exceptional talents to join a renowned Data Science Team and contribute to building cutting-edge data analytics capabilities that will drive the industry forward.
Why This Opportunity?
In this role, you will have the chance to redefine data analytics, working alongside a dynamic team and driving innovation. As a Data Engineer, you'll play a pivotal role in revolutionizing the way we process, analyze, and derive insights from data, ultimately shaping the landscape of our industry.
Roles and Responsibilities:
- Collaborate seamlessly with cross-functional teams, establishing an innovative data processing and analytics ecosystem while fostering humility-driven best practices.
- Engineer data solutions that empower data scientists and software engineers, offering critical support for data analysis, model development, and validation to fuel data-driven decision-making.
- Architect and execute ingenious data storage solutions that underpin data quality, availability, and scalability, ensuring a robust foundation for transformative insights.
- Optimize data infrastructure performance, meticulously refining efficiency while cutting costs through strategic enhancements that resonate with the team.
- Elevate team synergy through active participation in technical discourse, engaging in discussions that foster a culture of ideas supported by credible data.
Requirements:
- Leverage your 2+ years of distinguished experience as a dynamic data engineer, demonstrating a deep understanding of data engineering principles.
- Showcase your mastery of Agile and DevOps practices, encompassing version control, CI/CD, Infrastructure-as-Code, containerization, and observability/monitoring.
- Illuminate your track record in crafting data infrastructure tailored to business and data team needs, reflecting your acumen in data architecture, modeling, and warehousing.
- Command a profound familiarity with data processing systems, including Airflow, Dagster, Flyte, Spark, DBT, and similar, complemented by adeptness with data cataloging tools such as Atlas, Amundsen, DataHub, and others.
- Reveal your intimate acquaintance with SQL (with a preference for PostgreSQL) and NoSQL databases (Redis, Elasticsearch), empowering you to architecturally navigate data landscapes.
- Leverage your prowess in AWS, confidently navigating its data analytics services and databases, and experience with data platforms such as Sagemaker, Dataiku, Databricks, Datarobot, and similar.
- Illuminate your finesse in data visualization and reporting tools like Metabase, Tableau, PowerBI, or Looker, painting a vivid picture of insights for stakeholders.
Preferred Qualifications:
· Highlight your hands-on involvement in fortifying high-traffic consumer apps, showcasing your ability to engineer robust solutions under demanding conditions.
· Spotlight your dexterity with real-time data processing tools, such as Kafka, Flink, and their kin, reinforcing your capacity to navigate dynamic data flows.
· Champion your education or professional journey in data science, MLOps, or related disciplines, exemplifying your dedication to continual growth and innovation.
· Hailing from reputable schools or educational backgrounds with quantitative majors, your confidence is balanced by humility, making you a modest collaborator.
· You are unafraid to voice out your ideas, yet you back them up with solid data and insights, creating a foundation for meaningful discussions and solutions.
· Your experience within end-user environments, whether it's startups or multinational corporations, has honed your skills and perspective, setting you apart from consultancy firms.
If you're ready to elevate your career as a Data Engineer and shape the future of data analytics, we invite you to explore this exceptional opportunity. Join us on this exhilarating journey to define new horizons in the world of data.
Apply now: https://www.careers-page.com/tyson-jay/job/LR9V8R7X/apply
Tyson Jay Recruitment Pte Ltd | EA License No.: 16C7954
Ivan Lim | EA Personnel No.: R1109856
