Senior Data Engineer

Purview Services; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Purview Services in Delhi, India seeks a data engineer to design, develop, and implement large-scale data pipelines and architectures, while collaborating with cross-functional teams to identify and prioritize project requirements.

You will maintain complex data systems, ensure data quality and security, optimize processing workflows, and troubleshoot issues to keep projects on track.

Qualifications

• Strong knowledge of data engineering principles and practices.
• Experience with Hadoop, Spark, and NoSQL databases.
• Excellent programming skills in Python, Java, or Scala.
• Strong understanding of database concepts and data modeling techniques.
• Ability to work in a fast-paced environment and meet deadlines.
• Strong communication and collaboration skills.

Responsibilities

• Design, develop, and implement large-scale data pipelines and architectures.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain complex data systems and databases.
• Ensure data quality, integrity, and security.
• Optimize data processing workflows for improved performance and efficiency.
• Troubleshoot and resolve technical issues related to data engineering projects.

Skills

Data engineering

Programming: Python/Java/Scala

Communication skills

Collaboration

Deadline-driven

Tools

Hadoop

Spark

NoSQL databases

Job description

Roles and Responsibility

• Design, develop, and implement large-scale data pipelines and architectures.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain complex data systems and databases.
• Ensure data quality, integrity, and security.
• Optimize data processing workflows for improved performance and efficiency.
• Troubleshoot and resolve technical issues related to data engineering projects.

Job Requirements

• Strong knowledge of data engineering principles and practices.
• Experience with big data technologies such as Hadoop, Spark, and NoSQL databases.
• Excellent programming skills in languages like Python, Java, or Scala.
• Strong understanding of database concepts and data modeling techniques.
• Ability to work in a fast-paced environment and meet deadlines.
• Strong communication and collaboration skills.