GlobalLogic Hiring Drive 2024: GlobalLogic Hiring Drive 2024 for its Data Engineer. GlobalLogic Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred. if you are interested, please apply as soon as possible.
Company Name: GlobalLogic
Role: Data Engineer
Location: Noida
Experience: 1-5 years
Qualification: Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
Batch: Any
Job Type: Full Time
Salary: 17.6 LPA (Expected)
GlobalLogic Hiring Drive 2024
Job Description:
- We are seeking a highly skilled and experienced Data Engineer to join our dynamic team.
- The ideal candidate will be passionate about data, with a strong background in data modeling, pipeline creation, and analytics technologies.
- As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure to support our business objectives.
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or a related field. Master’s degree preferred.
- Proven experience (1-5 years) working as a Data Engineer or similar role in a fast-paced environment.
- Strong proficiency in data modeling concepts and techniques.
- Hands-on experience with PySpark and SQL for data processing and analysis.
- Experience with data modeling
- Proficiency in data visualization tools, particularly Power BI, for developing insightful dashboards and reports.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Experience with Agile methodologies and version control systems (e.g., Git) is a plus.
Responsibility:
- Design and implement scalable and efficient data pipelines for ingesting, processing, and transforming large volumes of data from various sources.
- Develop and maintain data models to support analytical reporting and business intelligence needs.
- Utilize PySpark, SQL, and other relevant technologies to perform data manipulation, aggregation, and analysis.
- Work closely with cross-functional teams to understand data requirements and translate them into technical solutions.
- Collaborate with Data Scientists and Analysts to ensure data integrity, accuracy, and consistency in analytics and reporting.
- Stay updated on emerging trends and best practices in data engineering and analytics technologies.
- Troubleshoot and optimize existing data pipelines and processes to improve performance and reliability.
- Provide technical expertise and support for data-related initiatives and projects.
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