Wipro hiring Data Engineer 2024 | Apply Now

Wipro hiring Data Engineer 2024 | Overview

Job Title: Data Engineer

Locations:

• Bengaluru, India
• Hyderabad, India
• Pune, India

Job ID: 3071022

Overview:

We are seeking a highly skilled Data Engineer to join our dynamic team in Bengaluru, Hyderabad, or Pune. This role is pivotal in harnessing data to drive insights and support the decision-making processes within our organization. The ideal candidate will possess a robust technical background, with a focus on Python programming, database management, machine learning deployment, and modern development practices.

Key Responsibilities:

1. Programming Proficiency:
   • Utilize your excellent programming skills in Python to develop, test, and maintain data engineering solutions.
   • Ensure your code is efficient, scalable, and adheres to best practices in software development.
2. Database Management:
   • Demonstrate strong knowledge and experience in writing complex queries for both SQL and NoSQL databases.
   • Optimize database performance and ensure data integrity across various platforms.
3. Machine Learning Deployment:
   • Build and maintain ML pipelines, ensuring the seamless integration of models into production environments.
   • Deploy machine learning models using Microsoft Azure cloud services (e.g., Azure ML, Azure Data Factory, MLFlow, AKS).
   • Focus on achieving scalability and cost-efficiency in all deployments.
4. MLOps and Microservices:
   • Implement MLOps practices to streamline model development and deployment processes.
   • Utilize microservices architecture with frameworks such as Django, FastAPI, or Flask to enhance the flexibility and scalability of ML applications.
5. Version Control and CI/CD:
   • Leverage version control systems (Git) to manage codebase and collaborate effectively with other team members.
   • Set up and maintain continuous integration/continuous deployment (CI/CD) pipelines to automate testing and deployment processes.
6. ETL Projects:
   • Participate in Extract, Transform, Load (ETL) projects, bringing hands-on experience with Pyspark.
   • Design and develop ETL processes to ensure efficient data flow and transformation.
7. Analytical and Debugging Skills:
   • Apply strong analytical skills to interpret data and provide actionable insights.
   • Utilize debugging skills to troubleshoot and resolve issues within data pipelines and applications.
8. Communication Skills:
   • Communicate effectively with both technical and non-technical stakeholders.
   • Document processes, present findings, and provide training as needed to ensure a clear understanding of data engineering practices.
9. Agile Development:
   • Embrace Agile development methodologies to manage tasks, prioritize work, and deliver high-quality results.
   • Participate in Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives.

Required Skills and Technologies:

• Python: Demonstrated expertise in Python programming, with a strong focus on developing scalable and efficient code.
• Pyspark: Practical experience in using Pyspark for ETL processes and data transformation tasks.
• SQL and NoSQL: Proficiency in writing and optimizing queries for relational (SQL) and non-relational (NoSQL) databases.
• Hadoop: Familiarity with Hadoop ecosystem tools and frameworks to manage and process large datasets.
• Azure Cloud Services: Experience with Azure ML, Azure Data Factory, MLFlow, and AKS for deploying machine learning models.
• Version Control (Git): Strong understanding of Git for version control and collaboration.
• CI/CD Pipelines: Hands-on experience in setting up and managing CI/CD pipelines for continuous integration and deployment.
• MLOps: Knowledge of MLOps practices and microservices architecture using Django, FastAPI, or Flask.

Desired Attributes:

• Analytical Thinking: Ability to analyze complex data sets and derive meaningful insights.
• Problem-Solving: Strong problem-solving skills to address technical challenges and improve system performance.
• Adaptability: Willingness to learn and adapt to new technologies and methodologies.
• Team Player: Collaborative mindset with the ability to work effectively in a team-oriented environment.

Conclusion:

If you are a motivated Data Engineer with a passion for leveraging data to drive business success, we encourage you to apply. Join our team and contribute to building innovative data solutions that make a significant impact.

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