Computer Vision/Machine Learning Engineer

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the product:
It is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The broad range of data-driven solutions in data consulting and digital marketing are designed to meet clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:
We are seeking a skilled and experienced Data Engineer to join the dynamic team.

Requirements:
- In-depth experience in leading transformations of cloud data platforms.
- Demonstrated success in deploying large-scale data and analytical solutions in cloud settings.
- Hands-on proficiency in comprehensive data pipeline creation on platforms such as Azure Data Factory .
- Deep understanding of contemporary data architectures (Data Lake, Warehouse and Lakehouse).
- Solid comprehension of data architecture and data modelling techniques.
- Efficient management of data pipelines from a cost perspective.
- Acquaintance with CI/CD-driven data pipeline and infrastructure.
- Agile delivery methodology using Scrum and Kanban frameworks.
- Ability to independently scope, estimate, and deliver tasks on time within an agile framework.
- Proactive in enhancing data processes

Responsibilities:

• Highly skilled in data assessment, data modelling and designing ETL processes.
• Excellent understanding of the concepts of data lake and Synapse on Azure.
• Expert level knowledge of building data pipelines with Microsoft Azure Data Factory
• Expert at T-SQL, Python and Pyspark, with experience in performance tuning and dealing with large data volumes.
• Extensive experience of developing end-to-end reporting and analytics solutions with technologies like Microsoft Power BI, SSIS, SSRS and SSAS, Power Query / DAX.
• Good understanding of key concepts of enterprise big data architecture.
• Experience and good understanding of the full software development lifecycle, including the use of Azure DevOps for continuous integration and deployment CICD.
• Good level of understanding the differences in the approach for building self-service reporting solutions including the choice of data sources and ETL approach.
• Understanding security model designs within the data estate.
• Business knowledge in consumer goods manufacturing would be desirable.
• Understanding engineering processes for developing APIs.
• Experience of Agile working practices is essential.
• Understanding of data quality approaches is essential.

What You’ll Be Like:

• Personable, credible, with excellent communication skills, experienced in the consultative style necessary to gain the trust and cooperation of non-team members and senior staff.
• Must have excellent attention to detail and ability to keep the bigger context and strategic vision in mind.
• Ability to translate complicated technical data issues into business implications and impact to brief data owners and stakeholders.
• Strong problem-solving skills and the ability to work in a dynamic, fast-paced environment.
• Passionate, keen and energetic with demonstrable enthusiasm and commitment.
• Receptive to others ideas and responds constructively to challenges.
• Be a change ambassador, open to collaboration on all levels with a creative approach to each problem.
• Able to easily adapt to changing environments and continue to deliver value
• Very open and proactive in knowledge sharing, always helping team members grow and improve their skills.

Other requirements:

• Proficient in Turkish Language
• Proficient in English Language

Why should you join:

• This is the place to be: come and build the future of data and marketing;
• Innovation: They have a passion for creating impacting projects, and believe innovation can come from anyone;
• Action: They make things rather than telling people how to make them;
• Collaboration: They believe in bringing talented people together, winning, and learning from each other.

We offer:

• Good compensation;
• Benefit package;
• Strong team and career growth;
• Challenges every day!