KONE Careers Opportunities for Data Engineer Role. BE/BTech Candidates can apply for the post.
Table of Contents
The complete details of this jobs are as follows :
- Company – KONE
- Role – Data Engineer
- Qualification – BE/BTech
- Experience – 0-3 Years
- Location – Pune
- Salary – 3 LPA – 6 LPA
ABOUT COMPANY
KONE is a Finnish company that specializes in the manufacturing and maintenance of elevators, escalators, and automatic doors. With a history spanning over 110 years, KONE has established itself as one of the leading companies in the global elevator and escalator industry. Here’s some key information about KONE:
Products and Solutions: KONE offers a wide range of products and solutions for vertical transportation. This includes elevators, escalators, moving walkways, and automatic building doors. Their products are designed to provide safe, efficient, and innovative transportation solutions for various types of buildings, including residential, commercial, and public structures.
Technological Innovation: KONE has a strong focus on technological innovation and has introduced several groundbreaking advancements in the elevator and escalator industry. They have developed advanced elevator systems such as KONE UltraRope, a lightweight and durable hoisting technology that enables higher travel heights in buildings. KONE’s solutions also incorporate connectivity and smart building features, allowing for remote monitoring, predictive maintenance, and improved energy efficiency.
Sustainability: KONE is committed to sustainability and minimizing its environmental impact. They aim to develop eco-efficient products and solutions that promote energy efficiency and reduce energy consumption. KONE also focuses on the lifecycle management of its products, ensuring responsible sourcing, efficient manufacturing processes, and recycling at the end of the product’s life.
Global Presence: KONE operates globally and has a significant presence in various regions around the world. They have manufacturing facilities, sales offices, and service centers in numerous countries, allowing them to serve customers across diverse markets.
Service and Maintenance: In addition to manufacturing elevators and escalators, KONE provides comprehensive service and maintenance for its products. They offer maintenance contracts, modernization solutions, and 24/7 customer support to ensure the safe and reliable operation of their equipment throughout its lifecycle.
Company Culture: KONE emphasizes a customer-centric approach and strives to create seamless and personalized experiences for its clients. The company values innovation, safety, sustainability, and collaboration among its employees. They also prioritize diversity and inclusion and promote a culture of continuous learning and development.
KONE People Flow: KONE’s philosophy revolves around “People Flow,” which refers to their focus on providing efficient and smooth movement of people within buildings. They aim to improve the flow of people by integrating their products and services with smart building technologies and data-driven solutions.
KONE’s commitment to innovation, sustainability, and customer satisfaction has helped establish its position as a global leader in the elevator and escalator industry.
What You Will Be Doing As An Data Engineer
- Master’s degree in either software engineering, data engineering, data science, computer science, physics, statistics, mathematics, or a related field
- Previous hands-on professional experience in developing and maintaining data pipelines on AWS and Databricks.
- Ability to write compelling code, technical documentation and visualize your technical design.
- Coding proficiency with multiple languages Python, Scala and DBT.
- Fluent in industry-standard DevOps practices
- Passion to utilize agile development methodologies and tools (Jira, Confluence, draw.io).
- Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata, master data, transactional data, batch/NRT, data privacy and compliancy regulations.
- Tech stack: AWS, Gitlab, Databricks for ETL, Airflow, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC.
- Inbuilt cybersecurity awareness
- Proficiency in written and spoken English.
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Skills Required For Data Engineer
- Data Management: Proficiency in data management is essential for a data engineer. This includes skills in data modeling, database design, data integration, data warehousing, and data governance. Knowledge of relational databases (e.g., SQL), NoSQL databases, and data modeling techniques is important.
- ETL (Extract, Transform, Load): Data engineers should have expertise in designing and implementing Extract, Transform, Load (ETL) processes. This involves extracting data from various sources, transforming it to meet business requirements, and loading it into target data systems. Knowledge of ETL tools and technologies, such as Apache Spark, Apache Kafka, or Talend, is beneficial.
- Programming Skills: Proficiency in programming languages is crucial for data engineering. Commonly used languages include Python, Java, Scala, or R. Data engineers should be able to write efficient and scalable code to process and manipulate data, automate tasks, and build data pipelines.
- Big Data Technologies: Familiarity with big data technologies is important as data engineers often work with large and complex datasets. Knowledge of tools and frameworks like Apache Hadoop, Apache Spark, Apache Hive, Apache Kafka, or Apache Airflow is beneficial for handling big data processing, distributed computing, and stream processing.
- Data Pipelines and Workflow Management: Data engineers need to design and develop data pipelines that efficiently process and transform data. Skills in workflow management tools like Apache Airflow, Luigi, or Azkaban can help in orchestrating and managing complex data pipelines.
- Cloud Technologies: Many organizations now use cloud platforms for data storage, processing, and analytics. Familiarity with cloud technologies like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP) is valuable for data engineers to build scalable and cost-effective data solutions.
- Data Quality and Governance: Data engineers should have an understanding of data quality principles and the ability to implement data validation, cleansing, and data quality monitoring processes. Knowledge of data governance practices, data privacy regulations, and compliance requirements is also important.
- Data Visualization: While data engineers primarily focus on the backend processes, having basic data visualization skills can be beneficial. Tools like Tableau, Power BI, or Python libraries like Matplotlib or Seaborn can help in presenting data insights effectively.
- Problem-solving and Troubleshooting: Data engineers often encounter complex data-related challenges. Strong problem-solving and troubleshooting skills are essential for identifying issues, debugging code, optimizing performance, and ensuring data integrity.
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HOW TO APPLY FOR KONE 2023 ?
To apply for the KONE 2023 Off Campus Drive – interested candidates must follow the procedure outlined below:
- Click on the “Apply here” button provided below. You will be redirected to KONE company official career page.
- Click on “Apply Online”.
- If you have not registered before, create an account.
- After registration, login and fill in the application form with all the necessary details.
- Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
- Provide accurate information in your application.
- Verify that all the details entered are correct.
- Submit the application process after verification.
INTERESTED CANDIDATES CAN APPLY THROUGH THE BELOW LINK
Data Engineer Role – Pune
KONE – Frequently Asked Question ?
What is the KONE selection process?
The selection process will be based on a Written test followed by Technical and HR interviews.
What is the average salary for the post?
The average salary is 3 LPA – 6 LPA for the this role.
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DISCLAIMER:
The Recruitment Information Provided above is for Informational Purposes only . The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.
