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Data Engineer

3.00 to 7.00 Years   Chennai   16 Nov, 2023
Kone
Job LocationChennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryEngineering / Construction
Functional AreaNot Mentioned
EmploymentTypeFull-time

Job Description

    To succeed in this role, following professional experience will play a key role: Masters degree in either software engineering, data engineering, data science, computer science, physics, statistics, mathematics, or a related field Data engineering professional experience Previous hands-on professional experience in developing and maintaining data pipelines on AWS and Databricks: 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. 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. Practical experience in working with enterprise data landscapes and data structures: Structural data, non-structural data, metadata. master data, transactional data, batch/NRT. Tech stack: AWS, Gitlab, Databricks for ETL, Airflow, Python, Scala, and DBT for developing ETL, jobs, AWS CDK and Terraform for IaC. Experience on enterprise data sources: Experience in woring with e.g. SAP ERP, Salesforce and product data management (PDM), manaufacturing execution system (MES) system data. 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 and be proactive, seek feedback, be courageous and resilient, and have excellent problem-solving skills. 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 onwww.kone.com/careers,

Keyskills :
software engineeringdata engineeringdata sciencecomputer sciencephysicsstatisticsmathematicsAWSPythonScalaDBTDevOpsETLAirflowSAP ERPSalesforceproduct data managementmanufacturing execution systemJiraConfluencedata privacyspoken Englis

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