Data Practice Leader (offline)
Provectus helps companies adopt AI to transform the ways they operate, compete, and drive value.
The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
The role of a Practice Leader is the most important for the company’s Data practice because it is not only about managing people but also requires things to be done.
A Practice Leader must have sufficient technical experience to maintain and demonstrate the best market practices while keeping abreast of the latest technologies.
Requirements:
- 5+ years of experience in Data Engineering, preferably with our main stack (AWS cloud, Streaming, and BigData).
- Solid experience with tools like Apache Airflow, Apache Spark, Apache Kafka, etc.
- Experience with DWH (Redshift), Lakehouse architecture (Redshift Spectrum), and Data Lake (Lake Formation).
- Understanding of different DE architectures (e.g. Lambda vs Kappa architectures, Kimball vs Inmon models in DWH), and their Pros and Cons.-
- Practical experience working on ML/AI projects.
- Experience in team/department leadership.
- Relationship/team building. Leadership requires building and maintaining a solid and collaborative team of individuals working toward the same goal.
- Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve their goals.
- Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts.
- Calmness. People are complicated, and it is required to be ready for any objectives or misunderstandings.
- Participation in open-source projects and/or public communities.
Nice to have:
- Experience with CDC, Apache Hudi, and DeltaLake.
- AWS certifications such as SA Professional or Data Analytics Specialty.
- DataOps or MLOps knowledge would be a significant plus.
Responsibilities:
- Participate in AWS Partnership programs - AWS Immersion Day, AWS GameDay, Well-Architected Review, etc.
- Train, mentor, and share knowledge and experience with the team on a continuous basis.
- Implement tools that enhance data culture across many teams.- Research and introduce new, more effective data processing.
- Improve the company's technical stack and expertise in the DE area. Work on those improvements with Managers, Data Maintainers, and CTO on a permanent basis.
- Combine AWS Service into a solution with defined requirements.
- Understand and be able to explain advanced data concepts (e.g. Data Catalog, Feature stores, etc.) to other DEs.
- Understand data quality and be able to ensure it using the DataQA approach.
- Contribute to Provectus open-source tools (ODD, Kafka UI, etc.) as an active member of the community.
- Hire and onboard newcomers.- Conduct performance reviews, and 1-on-1 meetings.
- Identify and address team gaps in knowledge.
- Evaluate, improve and maintain processes.
- Сollaborate with other managers across the company.
- Communicate and follow the company's mission, vision, and values.
Briefly about us:
Provectus is an Artificial Intelligence consultancy and solutions provider, that helps businesses achieve their objectives through AI. We are recognized by industry analysts as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.
We are waiting for you to become a part of our team!
The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
The role of a Practice Leader is the most important for the company’s Data practice because it is not only about managing people but also requires things to be done.
A Practice Leader must have sufficient technical experience to maintain and demonstrate the best market practices while keeping abreast of the latest technologies.
Requirements:
- 5+ years of experience in Data Engineering, preferably with our main stack (AWS cloud, Streaming, and BigData).
- Solid experience with tools like Apache Airflow, Apache Spark, Apache Kafka, etc.
- Experience with DWH (Redshift), Lakehouse architecture (Redshift Spectrum), and Data Lake (Lake Formation).
- Understanding of different DE architectures (e.g. Lambda vs Kappa architectures, Kimball vs Inmon models in DWH), and their Pros and Cons.-
- Practical experience working on ML/AI projects.
- Experience in team/department leadership.
- Relationship/team building. Leadership requires building and maintaining a solid and collaborative team of individuals working toward the same goal.
- Ability to teach and mentor. The role assumes providing employees with their career path and helping them achieve their goals.
- Diplomatic skills. It means more than just "communication skills" and includes ethics, empathy, compassion, and the ability to resolve conflicts.
- Calmness. People are complicated, and it is required to be ready for any objectives or misunderstandings.
- Participation in open-source projects and/or public communities.
Nice to have:
- Experience with CDC, Apache Hudi, and DeltaLake.
- AWS certifications such as SA Professional or Data Analytics Specialty.
- DataOps or MLOps knowledge would be a significant plus.
Responsibilities:
- Participate in AWS Partnership programs - AWS Immersion Day, AWS GameDay, Well-Architected Review, etc.
- Train, mentor, and share knowledge and experience with the team on a continuous basis.
- Implement tools that enhance data culture across many teams.- Research and introduce new, more effective data processing.
- Improve the company's technical stack and expertise in the DE area. Work on those improvements with Managers, Data Maintainers, and CTO on a permanent basis.
- Combine AWS Service into a solution with defined requirements.
- Understand and be able to explain advanced data concepts (e.g. Data Catalog, Feature stores, etc.) to other DEs.
- Understand data quality and be able to ensure it using the DataQA approach.
- Contribute to Provectus open-source tools (ODD, Kafka UI, etc.) as an active member of the community.
- Hire and onboard newcomers.- Conduct performance reviews, and 1-on-1 meetings.
- Identify and address team gaps in knowledge.
- Evaluate, improve and maintain processes.
- Сollaborate with other managers across the company.
- Communicate and follow the company's mission, vision, and values.
Briefly about us:
Provectus is an Artificial Intelligence consultancy and solutions provider, that helps businesses achieve their objectives through AI. We are recognized by industry analysts as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.
We are waiting for you to become a part of our team!
About Provectus
Provectus is the first AI consultancy and solutions provider, helping businesses achieve their objectives through AI.Just imagine: ML for making factories safer for workers, preventing vision loss, and reducing the spread of disease, AI for curing eye diseases - it’s about the products we’ve already developed!
Who we are:
- We are a team of more than 600 people from Ukraine, USA, Canada, Costa Rica and Armenia.
- We are AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps and Machine Learning.
What we do:
- We design and build AI solutions for industry-specific use cases, leveraging our expertise in data, machine learning, and cloud.
- We use Computer Vision, Natural Language Processing, and Anomaly Detection technologies to empower our clients and drive innovation.
- We help businesses design, architect, migrate, or build cloud-native applications on AWS cloud.
How we work:
- At Provectus, everyone has a voice. Share your vision and ideas, utilize cutting-edge technologies that drive positive change on a global scale, contribute to open source projects, and realize your full potential!
- We are committed to developing tech communities in every market where we operate. Join our open knowledge sharing events, tech conferences, internships and educational programs.
- Work from wherever works for you. Provectus offers a hybrid work model for our employees. Work from home or at the office, or combine the two.
Be Heard. Be Empowered. Make a Difference.
Apply now!
Company website:
https://careers.provectus.com/
DOU company page:
https://jobs.dou.ua/companies/provectus/
The job ad is no longer active
Job unpublished on
30 October 2022
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