At Collective[i], we value diversity of experience, knowledge, backgrounds and perspectives who share a commitment to building a company and community on a mission to help people be more prosperous. We recruit extraordinary individuals and provide them the platform to contribute their exceptional talents and the freedom to work from wherever they choose. Our company is a wonderful place to learn and grow alongside an incredible and tenacious team.
Collective[i] was founded by three entrepreneurs with over $1B of prior exits. Their belief in the power of Artificial Intelligence to transform life as we know it and improve economic outcomes at massive scale drove the decision to invest over $100m in the company which has created a state-of-the-art platform for prosperity that helps companies generate sales and people expand their professional connections. In the last decade, Collective[i] has grown into a powerful community of scientists, engineers, creative talent and more, working together to help people succeed in business.
We’re in search of a Senior Data Engineer who finds satisfaction in constructing applications to manage operations on a global scale. In this role, you’ll collaborate extensively with engineering, operations, and product teams to implement new applications onto our data framework, enhance existing outdated components, and conceive novel functionalities for our products. This opportunity calls for an individual enthusiastic about large-scale data technologies, adept at tackling intricate problems, skilled in teamwork, and possessing a mindset geared towards continual development.
Qualifications
- Proficiency with Open Source and Big Data technologies
- Hands-on experience with Hadoop, Cloudera, or similar platforms
- Expertise in Java development, with a focus on crafting efficient and scalable solutions
- Strong background in messaging systems like Kafka, ensuring seamless data integration and communication
- In-depth knowledge of SQL/NoSQL technologies to manage and analyze large-scale datasets
- Proven ability to design and develop complex workflows using Oozie or Airflow
- Demonstrated success in building secure, scalable, and high-performance big data platforms to handle and analyze complex data using open-source tools
- Familiarity with cloud computing infrastructure (e.g., AWS, GCP, Snowflake), with a deep understanding of scalable, distributed systems
- Experience with a range of analytical tools, languages, or libraries
- Expertise in architecting and implementing large-scale data intelligence solutions, especially within Snowflake Cloud Data Warehouse, is a bonus
- Excellent communication skills with a collaborative approach, comfortable engaging with business, product, and development teams
- A strong team player who takes pride and ownership in collective accomplishments