Python Data engineer

Mobica | Enabling Technologies

We are a global software services company, delivering enabling technologies that transform business outcomes. We offer scalable custom software engineering with technical and delivery excellence, across the stack, from chip to cloud.

Job Description

You will be working on the project which the main goal is to protect the ocean and preserve its ability to support life and help feed humanity, sustainably. Our initial area of focus is on developing hardware and software technologies that bring greater visibility and understanding of what’s happening under the water.

Qualifications

• At least 2 years of software development experience
• Experience with data pipelines (Google Cloud Dataflow service knowledge will be an advantage)
• Must have technical troubleshooting skills
• Experience with Python, scripting, unix, SQL, protobuf, and preferably C++ as well
• Understanding of Machine Learning, AI and Computer Vision basics
• Superior problem solving skills, with good attention to details. Be able to identify weaknesses and suggest improvements.
• A passion to make a difference in ocean sustainability
• Excellent communication skills

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

Mobica offers private medical care and life insurance. You will become eligible for each of these benefits on the first day of the month, following hire. These details will be discussed with you during your onboarding.

• Competitive salary package
• Permanent employment
• Flexible working hours
• Training programs
• Work from home flexibility