Data Engineer - Big Data Infrastructure

What role you will play in team: Design, build, and maintain big data infrastructure to support data science initiatives.

What you will do: Develop and maintain data pipelines to process and store large datasets.

Key responsibility:

• Design and implement scalable and reliable big data infrastructure.
• Develop and maintain data pipelines using tools such as Spark, Hadoop, and Kafka.
• Monitor and optimize the performance of big data systems.
• Collaborate with data scientists to ensure data availability and quality.
• Troubleshoot and resolve issues with big data systems.

Required Qualification and Skills:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong programming skills in Java, Python, or Scala.
• Experience with big data technologies such as Spark, Hadoop, and Kafka.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Strong problem-solving and debugging skills.

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired

Benefits Included:

• Competitive salary and benefits.
• Opportunities for professional development.
• Collaborative and supportive work environment.
• Challenging and impactful work.

A Day in the Life: You'll spend your day building and maintaining data pipelines, troubleshooting issues, and collaborating with data scientists.