Cubera is a data company revolutionizing AdTech and Big Data Analytics through data value share paradigm, where the users entrust their data to us. We have perfected the art of understanding, processing, extracting, and evaluating the data that is entrusted to us. We are a gateway for brands to increase their lead efficiency as the world moves towards Web 3.0.
What are you going to do?
- Design & Develop high performance and scalable solutions that meet the needs of our customers.
- Closely work with the Product Management, Architects and cross functional teams.
- Build and deploy large-scale systems in Java/Python.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing their algorithms.
- Follow best practices that can be adopted in Big Data stack.
- Use your engineering experience and technical skills to drive the features and mentor the engineers.
What are we looking for ( Competencies) :
- Bachelor’s degree in computer science, computer engineering, or related technical discipline.
- Overall 5 to 8 years of programming experience in Java, Python including object-oriented design.
- Data handling frameworks: Should have a working knowledge of one or more data handling frameworks like- Hive, Spark, Storm, Flink, Beam, Airflow, Nifi etc.
- Data Infrastructure: Should have experience in building, deploying and maintaining applications on popular cloud infrastructure like AWS, GCP etc.
- Data Store: Must have expertise in one of general-purpose No-SQL data stores like Elasticsearch, MongoDB, Redis, RedShift, etc.
- Strong sense of ownership, focus on quality, responsiveness, efficiency, and innovation.
- Ability to work with distributed teams in a collaborative and productive manner.
Benefits:
Competitive Salary Packages and benefits.
Collaborative, lively and an upbeat work environment with young professionals.