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Siemens Recruitment Drive; Hiring Graduate Engineer Trainee – Apply Now


Graduate Engineer Trainee Jobs in Bangalore 2025!!!

Siemens announced job vacancy for the post of Graduate Engineer Trainee. The place of posting will be at Bangalore. Candidates who have completed Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Name of the Company

Siemens

Required Qualifications

Graduate

Skills

Python or SQL

Work Type

Onsite

Category

Information Technology

Siemens Global Business Services (GBS) is a Siemens Service Company that provides innovative digital solutions and customer-oriented business services. With more than 20 years of experience, Siemens GBS taps into its understanding of how organizations and businesses work to seamlessly integrate, digitalize and optimize business processes with a portfolio that covers end-to-end business needs.

Θ Positions: Graduate Engineer Trainee

Θ Job Location: Bangalore

Θ Salary: As per company Norms

Θ Job Type: Full Time

Θ Requisition ID: 452277

Required Skills & Qualifications:

  • Strong programming knowledge such as Python or SQL.
  • Proficiency in SQL for data extraction, manipulation, and querying.
  • Understanding data visualization tools such as Tableau, Power BI, or similar.
  • Knowledge of data warehousing concepts and ETL processes.
  • Strong analytical skills with the ability to interpret complex datasets.
  • Good understanding of statistical analysis and data modeling techniques.
  • Excellent attention to detail and problem-solving skills.
  • Strong communication skills with the ability to present findings effectively to non-technical stakeholders.
  • Ability to work both independently and collaboratively in a fast-paced environment.
  • BE/B.Sc. – Computer Science/BCA

Job Description:

  • Collect, clean, and manipulate large datasets to ensure accuracy and reliability.
  • Perform thorough analysis using statistical methods and data visualization techniques.
  • Identify trends, patterns, and correlations within the data to uncover insights.
  • Present the findings, or translate the data into an understandable dashboard using visualization tools (Ex: Tableau)
  • Collaborate with cross-functional teams to understand business requirements and provide data-driven solutions.
  • Conduct ad hoc analysis and data mining to support specific business inquiries.
  • Monitor data quality and integrity to ensure consistency and reliability.
  • Stay up to date with industry trends and best practices in data analysis.

 

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