Data Engineer

Philips

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profile Job Location:

Chennai - India

profile Monthly Salary: Not Disclosed
Posted on: 22 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Title

Data Engineer

Job Description

#PHILIN

#EOS


Job title:
Data Engineer


Your role:
Job Responsibilities:
Assists in solving data engineering challenges by analyzing data issues and applying simple solutions working under general supervision.
Helps develop technical solutions by integrating data from different sources and conducting basic feasibility checks.
Supports complex data requests and queries by ensuring detailed and accurate responses that align with business needs and advanced technical capabilities providing guidance and insights.
Ensures data accuracy in reports by following validation and verification protocols maintaining exemplary data quality standards and ensuring compliance with industry regulations.
Develops and optimizes algorithms to transform raw data into detailed statistical analyses to drive informed decision-making and enhance business operations.
Automates the generation of advanced data analysis charts and graphs enhancing reporting processes efficiency and improving data visualizations clarity and utility.
Extracts detailed information on specific data sets quickly and efficiently providing comprehensive analyses that support critical business operations and decision-making processes.
Responds promptly to queries from various business units offering expert guidance on data trends and providing in-depth insights on product or trend-specific concerns.
Suggests improvements by evaluating existing tools systems and databases identifying opportunities for enhancements and recommending solutions to drive innovation.
Documents statistical-based trending procedures and validates analysis processes in strict compliance with regulatory requirements ensuring transparency adherence to industry standards.


Youre the right fit :


Minimum required Education:
Bachelors Degree/ Vocational Education in Data Analytics Statistical Techniques Mathematics Computer Science or equivalent.

Minimum required Experience:
Minimum 4 years of experience with Experience in areas such as Data Analytics Data Engineering .

Minimum required Certification:
N/A


How we work together
We believe that we are better together than apart. For our office-based teams this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the companys facilities.
Field roles are most effectively done outside of the companys main facilities generally at the customers or suppliers locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters and we wont stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover
our rich and exciting history.
Learn more about
our purpose.
If youre interested in this role and have many but not all of the experiences needed we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care
here.


Required Experience:

IC

Job TitleData EngineerJob Description#PHILIN#EOSJob title:Data EngineerYour role:Job Responsibilities: Assists in solving data engineering challenges by analyzing data issues and applying simple solutions working under general supervision. Helps develop technical solutions by integrating data from d...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Philips has been revolutionizing lighting for over 125 years. We pioneered the world changing development of electric light and LED, and are now leading the way in intelligent lighting systems. Our deep understanding of how lighting positively affects people, enables us to deliver inn ... View more

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