Paradigmit Technology Hiring Drive 2024: Paradigmit Technology Hiring Drive 2024 for its Data Engineer with AI. Paradigmit Technology Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelors or Master’s degree in Computer Science, Engineering, or a related field. if you are interested, please apply as soon as possible.
Company Name: Paradigmit Technology
Role: Data Engineer with AI
Location: Hyderabad
Experience: 0 – 2 years
Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Batch: Any
Job Type: Full Time
Salary: Best in Industry
Paradigmit Technology Hiring Drive 2024
Job Description:
- We are seeking a Data Engineer with 3-4 years of experience in AI and data lakes.
- The ideal candidate will be responsible for designing, implementing, and maintaining data infrastructure that supports our AI initiatives.
- This role requires a strong technical background, problem-solving skills, and the ability to work collaboratively with cross-functional teams.
Requirements:
- Bachelors or Master’s degree in Computer Science, Engineering, or a related field.
- 3-4 years of experience in data engineering, with a focus on AI and data lakes.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies (e.g., Hadoop, Spark, Kafka).
- Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and data lake architectures.
- Strong SQL skills and experience with database technologies (e.g., MySQL, PostgreSQL, NoSQL).
- Knowledge of data warehousing concepts and ETL processes.
- Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Experience with data visualization tools (e.g., Tableau, Power BI).
Responsibility:
- Design, build, and maintain data pipelines to support AI and machine learning models.
- Develop and manage data lakes, ensuring data is organized, accessible, and secure.
- Work closely with data scientists and AI engineers to understand data requirements and implement solutions.
- Optimize data workflows for performance and scalability.
- Implement data governance and data quality best practices.
- Monitor and troubleshoot data infrastructure to ensure high availability and performance.
- Collaborate with stakeholders to define and implement data integration and transformation processes.
- Stay current with industry trends and emerging technologies in data engineering, AI, and data lakes.
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