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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