Analytics Engineer (offline)

Intro:

Are you an experienced Data Engineer? Do you thrive in mentoring and guiding specialists within your team? Your role is pivotal in fostering collaboration, sharing expertise, and ensuring the success of your teammates while driving value for your company. As a Data Engineer, you will lead by example, sharing your knowledge, and helping to shape a cohesive and proficient team environment. Together, you can achieve greatness and make a real difference in the world of data engineering.

Key Responsibilities:

- Data Transformation and Engineering:
- Lead the transformation, testing, deployment, and documentation of data to ensure its cleanliness and trustworthiness for end-user analysis.
- Collaborate closely with data scientists and business analysts to determine optimal data structures that effectively capture our evolving business needs.
Mentorship and Collaboration:
- Act as a mentor to junior specialists, providing guidance, sharing experiences, and facilitating their growth within the team.
- Work collaboratively with team members to instill engineering best practices, emphasizing reliability, modularity, test coverage, and documentation.
Data Modeling and Documentation:
- Drive the modeling of raw data into clean, reusable datasets, establishing rules and requirements for data formats and attributes.
- Develop and maintain comprehensive data documentation, ensuring a broad-scale understanding of data usage across the organization.
Continuous Improvement:
- Implement engineering best practices to enhance code quality and contribute to the overall improvement of our code base.
- Collaborate with data engineers to build robust, scalable ELT pipelines, fostering a culture of continuous improvement and innovation.

Qualifications:

Must-haves:

- 3+ years of experience in a Data Engineer or equivalent role, with a strong preference for experience with DBT.
- 5+ years of cumulative experience in the data space, encompassing data engineering, data science, analytics, or related areas.
- Proficiency in conceptual data modeling, data mart design, SQL, and Python.
- Experience building data pipelines and managing databases, preferably with Snowflake or similar technologies.
- Customer-oriented mindset with strong communication skills, both verbal and written.

Nice-to-haves:

- Degree in math, statistics, engineering, computer science, or a related technical field.
- Experience in predictive modeling, statistical analysis, or BI platforms.
Previous exposure to working in global, distributed teams or within the energy sector.

Jappware’s hiring process. What to expect:

- Meet & Greet: Chat with our recruiter for up to 1 hour to introduce yourself and discuss your goals.
- Tech Talk: Have a 1-hour technical interview with one of our engineers to discuss your skills and experience.
- CustomerChat: Spend up to 30 minutes chatting with the Head of Analytics from our client’s team.
- Culture Fit: Meet the team to ensure we’re a good fit for each other.

The Offer: If all goes well, we’ll extend an offer to join us!

Join our team to contribute to our cutting-edge data ecosystem, mentor the next generation of data specialists, and drive innovation for impactful solutions. Be a part of our tight-knit environment and help propel our company forward.

About Jappware

Jappware - IT service company - is a mix of youngness and experience. Our values are technical excellence, creativity, and contribution to the local engineering communities.

Our main technology is java on the backend, React and AngularJS on the frontend, React Native on the mobile platforms, and AWS as a cloud platform.

Company website:
https://www.jappware.com/

DOU company page:
https://jobs.dou.ua/companies/jappware/