Data Engineer

Wenger & Watson; Nagpur District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Wenger & Watson is seeking a data engineer to design scalable data pipelines and maintain large-scale data warehouses. You will collaborate with cross-functional teams to translate business requirements into robust data architectures and optimize systems for performance.

The role emphasizes data quality, security, and validation, with hands-on experience in Python or Java and knowledge of Hadoop or Spark. You will contribute to a data-driven culture through rigorous testing and teamwork.

Qualifications

• Strong understanding of data engineering principles and practices.
• Experience with data modeling and database design.
• Proficiency in programming languages such as Python or Java.
• Knowledge of data processing frameworks like Hadoop or Spark.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.

Responsibilities

• Design and develop scalable data pipelines and architectures.
• Ensure data quality and integrity through data validation and testing procedures.
• Collaborate with cross-functional teams to identify business requirements and develop solutions.
• Develop and maintain large-scale data warehouses and databases.
• Optimize data systems for performance and efficiency.
• Implement data security measures to protect sensitive information.

Skills

Data engineering principles

Data modeling

Python/Java

Problem solving

Team collaboration

Tools

Hadoop

Spark

Job description

Responsibilities

• Design and develop scalable data pipelines and architectures.
• Ensure data quality and integrity through data validation and testing procedures.
• Collaborate with cross-functional teams to identify business requirements and develop solutions.
• Develop and maintain large-scale data warehouses and databases.
• Optimize data systems for performance and efficiency.
• Implement data security measures to protect sensitive information.

Required Qualifications

• Strong understanding of data engineering principles and practices.
• Experience with data modeling and database design.
• Proficiency in programming languages such as Python or Java.
• Knowledge of data processing frameworks like Hadoop or Spark.
• Excellent problem-solving skills and attention to detail.
• Ability to work collaboratively in a team environment.