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Engaged Employer

Wissen Technology

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3.9

based on 447 Reviews

5 Wissen Technology Data Engineer Jobs

Data Engineer

Wissen Infotech Pvt Ltd

3.9

based on 447 Reviews

3-6 years

Pune

1 vacancy

Data Engineer

Wissen Technology

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Consulting Healthcare Machine Learning Telecom Robotic Process Automation SAP Business Intelligence

+ 3 more

Job Description

We are seeking a skilled Data Engineer with 3-6 years of experience in building and optimizing data pipelines and managing cloud-based data systems. The ideal candidate will have strong expertise in AWS, Spark, Scala, and experience with Java or Python. You will play a key role in designing, implementing, and maintaining scalable data solutions to support our data-driven initiatives.

Location: Pune

Experience

- Design, develop, and maintain scalable data pipelines and architectures for big data processing.
- Write efficient, reusable, and reliable code using Python, Java, or Scala.
- Implement real-time data processing solutions using Big Data technologies like Apache Spark.
- Optimize and fine-tune data processing workflows for performance and scalability.
- Collaborate with cross-functional teams to integrate and support data storage solutions using AWS cloud services.
- Apply Object-Oriented Programming (OOP) principles to create maintainable codebases.
- Work on distributed systems for real-time data ingestion and transformation.
- Analyze complex data structures and design efficient algorithms for data processing.
  Required Skills :
  
  Strong programming experience in Python , Java , or Scala .
  
  Hands-on experience with Apache Spark and working on large-scale data systems.
  
  Proficiency in Object-Oriented Programming (OOP) and understanding of Data Structures and Algorithms .
  
  Familiarity with cloud platforms, specifically AWS , for data storage and processing.
  
  Knowledge of distributed systems and stream processing for handling large datasets.
  Preferred Qualifications :
  
  Experience with Kafka for real-time data streaming and Cassandra for distributed databases is an added advantage.
  
  Exposure to containerization and CI/CD pipelines is desirable.