Senior Lead Data Engineer

We are looking for a

1 FTE Senior Lead Data Engineer, Data Products (Chennai)

To join the team developing modern cloud data architecture based data products for a KONE. Our Data Foundation based data products are key enabler in our digital transformation creating ability to develop new scalable analytics, AI and digital use cases by leveraging data across the whole KONE organization. Data products play a vital role in business value generation and driving optimized data architecture is crucial to ensure reusability of the data assets on the cloud based Data Foundation.

This is a hands-on, roll up your sleeves position that requires a passion for data, engineering and DevOps. In this role you will be doing hands on data engineering tasks from new development to resolving technical issues, maintaining and optimizing workloads. As a Lead Data Engineer, in addition to doing hands-on data engineering work in the data product team, we expect you to demonstrate in-depth domain-specific knowledge, critically evaluating new data-engineering methods and applying them, being responsible for deliverables to be implemented with industry best practices and aligned with the design and architecture principles, being responsible for ensuring that Data Engineers follow agreed development process and fagreed CI/CD principles, being responsible for planning and conducting quality actions such as code reviews, triages in the team.

We offer a chance to work hands-on with state-of-the-art cloud technology in a global, multi-cultural work environment being located in our office in Chennai. We approach multi-cloud data engineering experience, as your professional background. We are searching for an enthusiastic person to join the team who is excited about developing own professional skills even further, learning new things and contributing to team success. An ideal candidate has a strong background in data engineering, SW engineering and data integration with modern multi cloud stack, but above all will to commit to a DevOps mindset and reach goals together. 

We are expecting you to take self-driven, proactive approach to your work, find & implement solutions, continuously looks for improvement opportunities in own area, solve problems, make decisions 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 in this role, following professional experience will play a key role:

• Master's degree in either software engineering, data engineering, computer science, or a related field
• Hands-on data engineering professional experience (> 5 years)
  • Previous hands-on professional experience in developing and maintaining data pipelines on AWS, Azure and/or Databricks. Working proficiency the the tech stack: AWS, Gitlab, Databricks for ETL, Airflow, SCL, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC.
  • Hands-on development experience on lake house architecture based on Databricks and Delta Lake, multi-hop medallion architecture to divide the data lake into bronze, silver and gold layers based on the quality and reusability of the data stored there, data product publishing in Unity catalog.
  • Strong coding proficiency with multiple languages SQL and Python, additional language are bonus. Ability to write compelling code, technical documentation and visualize your technical design.
  • Fluency in industry-standard DevOps practices and tools.
  • Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT. Experience on enterprise data sources: Experience in woring with e.g. SAP ERP, Salesforce, Droduct data management (PDM), and many others.
• Way of working professional experience
  • 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, take accountability and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills.
  • Ability to conduct technical evaluations and feasibility studies.
  • Ability to mentor and share knowledge as an expert leader.
  • Experience of DataOps and ITSM processes.
  • Proficiency in spoken and written English language, and strong facilitation and communication skills.

 These positions are based in Chennai in India.

*********** KONE LEAD DATA ENGINEER ROLE RELATED RESPONSIBILITIES ***********

Quality focus

• Responsible for the design and implementation of data pipelines according to business/analytics needs and best practices
• Responsible for ensuring that data pipelines are monitored and reliable
• Responsible for fixing defects in a timely manner
• Responsible for assembling data sets into a useful format for analysis using fit-for-purpose database technologies
• Responsible for building services and tools to make data more accessible to all data consumers
• Responsible for the documentation of data transformations, data models, and data flows

Additional responsibilities to Lead Data Engineer compared to Data Engineer

• Responsible for demonstrating in-depth domain-specific knowledge; critically evaluating new data engineering methods and applying them
• Responsible for deliverables are implemented with industry best practices and aligned with the KONE’s design principles and architecture
• Responsible for ensuring that team follows agreed development process and follows agreed CI/CD principles
• Responsible for planning and conducting quality actions such as code reviews, triages in the team

Collaboration focus

• Responsible for regular and timely collaboration within and between the agile teams
• Delegates work to ensure that features are delivered on time and meet quality requirements
• Supports and coaches team members in analytic topics and best practices
• Takes additional responsibilities such as the role of scrum master, lead task forces and defect triages

Planning focus

• Actively participates to backlog grooming, story estimations and ceremonies such as daily stand up, sprint planning and retros
• Supports the product owner in writing features and user stories and defining DoR and DoD quality gates for the same
• Actively follows team level metrics / KPIs / OKRs and takes actions in alignment with PO when needed

Accountabilities and Decisions

• Responsible for understanding the project goals, data, methods, and their limitations
• Responsible for taking initiative to what needs to be done without being asked
• Responsible for seeing opportunities in solving problems within scope of work for data science
• Responsible for technical decisions made in the team, for the own area of responsibility
• Responsible for following the KONE cybersecurity guidelines
• Accountable for planning and design implementation and identifying required data sources
• Accountable for adequate test coverage for backlog items in own scope
• Accountable for documenting the code in design documents and code itself § Accountable to review peer’s deliverables as planned
• Accountable to commit deliverables in agreed version control system
• Accountable on following agreed best practices and guidelines
• Accountable for defect fixing of the implementation in own scope
• Accountable for defining the test cases and creating the required datasets to perform planned tests
• Accountable for knowledge transfer to productio

Behavioral competences

• Quality focus (KONE general competences): Sets high quality standards for their personal output. Encourages others to meet high quality standards of work. Checks own output or that of others to ensure quality standards are met. Consistently delivers work of high quality. Maintains a focus on quality even when under pressure.
• Collaborating (KONE general competences): Shares information widely. Treats others with dignity and respect. Respects different needs and viewpoints. Creates trust and a sense of team spirit. Maintains confidentiality and holds to agreements. Admits own mistakes. Obtains co-operation by active listening and sensitivity towards situations and people. Establishes strong working relationships and effective internal and external networks. Achieves consensus, closes deals or discussions with clear understanding of agreement.
• Attention to procedures and guidelines (KONE general competences): Values clearly defined procedures and guidelines in work. Easily adapts to rules and supervision. Works in a well-organized manner. Pays sufficient attention to details. Makes plans in line with established procedures and guidelines
• Analysis and problem solving (KONE general competences): Distinguishes between important information and irrelevant or minor details. Analysis information in a logical and systematic way. Identifies the cause or causes of a problem. Proposes practical solutions to address identified problems. Explores a range of possible solutions.
• Information seeking (KONE general competences): Identifies gaps in existing information and seeks out further detail. Actively seeks out all relevant information. Utilizes all available resources to obtain information. Asks the right questions to obtain the information desired as quickly as possible.
• Conceptual thinking (KONE general competences): Recognizes patterns and trends. Demonstrates an understanding of information in its broader context. Applies concepts and theories to practical situations. Generates theories and conceptual models to explain relationships between information. Simplifies complex information into a single, clear concept.
• Detail focus (KONE general competences): Checks the details of own work carefully. Analysis information in a thorough and detailed way. Spots critical errors that others have overlooked. Identifies important details and ensures that they are correct. Maintains a focus on detail when dealing with routine work.
• Proactive communication (KONE general competences): Openly communicates appropriate and useful information to others. Keeps others updated about developments or changes to situations. Communicates key information relevant to other people. Promotes two-way communication with an exchange of information, opinion, and feelings. Actively listens to the input of others and summarizes information to ensure they have understood

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