Senior Data Engineer (24/7 Intelligence Analytics)
We are searching for Senior Data Engineers. Our 24/7 Intelligence Analytics team develops and maintains the predictive maintenance solutions for KONE’s 24/7 Connected Services.
In the Senior Data Engineer roles, you will be doing various data engineering tasks in the telemetry and maintenance data domain for developing and operating the predictive maintenance analytics applications and pipelines. The work will encompass the full data engineering lifecycle: new development, resolving technical issues, maintaining, optimizing workloads and continuous improvement. The Senior Data Engineer roles are hands-on, roll up your sleeves positions that require a passion for data, software engineering, testing and DevSecOps.
We offer a chance to work hands-on with data at scale for mission critical production solutions impacting customers around the world. An ideal candidate has a strong background in data engineering and software engineering, with knowledge of data science, but above all the desire to commit to a DevSecOps mindset, reaching goals together and continuously striving to improve the team performance.
We are searching for enthusiastic persons to join the team who are excited about developing own professional skills even further, learning new things and contributing to team success. We are expecting you to take self-driven, proactive approach to your work, find & implement solutions, solve problems, and share the learnings to colleagues. We want to work with people who enjoy teamwork, are not afraid to step out of their comfort zone, want to help others and share information.
To succeed best in Senior Data Engineer role, the following professional experience will play a key role:
- (Master's or Ph.D. degree) or equivalent professional experience in either software engineering, data engineering, data science, computer science or a related field.
- 3+ years of hands-on data engineering professional experience
- Technical proficiency with our cloud stack: AWS, GitLab CI/CD, Databricks, Python, SQL, PySpark, and DBT for developing and orchestrating ETL jobs, AWS CDK and Terraform for IaC.
- Hands-on experience with the following AWS Components : Batch, Lambda, Glue, Athena, SageMaker, CloudWatch, CDK, ECS, QuickSight, DynamoDB, RDS for PostgreSQL, IAM, VPC, S3
- Previous hands-on professional experience in developing and maintaining data pipelines on AWS and Databricks. Relevant AWS and Databricks certifications preferred.
- Ability to write maintainable code, technical documentation and visualize your technical design. Coding proficiency with Python and SQL (experience with Scala is considered a plus) with proven hands-on experience in industry standard software development life cycle methods, experience with software testing practices and DevOps practices spanning the full solution lifecycle.
- Maintaining good unit test coverage, and additionally developing integration and regression tests using the Robot Framework.
- Good understanding of cybersecurity guidelines, data privacy and compliancy regulations.
- Practical experience in working with IoT telemetry data, enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT.
- Acting as the go-to person in the methodological and technical aspects of data engineering, promoting innovation in data engineering, critically evaluate new data engineering methods and applying them to practice.
- Identifying, designing, and implementing data engineering process improvements, e.g. automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.
- Ensuring pipelines are implemented with industry best practices and aligned with the KONE’s technical design principles and architecture, ensuring that all Data Engineers follow agreed development process and agreed CI/CD principles, as well as planning and conducting quality actions such as code reviews, supporting and coaching sessions.
- Demonstrating in-depth process and data knowledge for the business domain(s) you are working with.
- Taking additional responsibilities such as the role of leading task forces and defect triages.
With respect to the way of working, we expect your professional experience to include - Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io).
- Inbuilt cybersecurity awareness. Understanding on data privacy and compliancy regulations.
- Ability to work in global multi-cultural team and effectively collaborate within the team.
- Ability to self-organize and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills.
- Ability to take ownership of work, collaborate seamlessly with product managers and cross-functional teams to drive innovative solutions, and ensure the successful delivery of data-driven products.
- Proficiency in spoken and written English language, and strong facilitation and communication skills.
At KONE, we are focused on creating an innovative and collaborative working culture where we value the contribution of each individual. Employee engagement is a key focus area for us and we encourage participation and the sharing of information and ideas. Sustainability is an integral part of our culture and the daily practice. We follow ethical business practices and we seek to develop a culture of working together where co-workers trust and respect each other and good performance is recognized. In being a great place to work, we are proud to offer a range of experiences and opportunities that will help you to achieve your career and personal goals and enable you to live a healthy and balanced life.
Read more on www.kone.com/careers
