Data Science Engineer

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

Job summary

Wenger & Watson in India seeks a data engineer to design and develop scalable data pipelines using big data technologies. The role collaborates with cross-functional teams to identify business problems and deliver high-quality data solutions.

Responsibilities include building data warehouses and data lakes, implementing machine learning models to drive business growth, and staying updated with industry trends. Strong Python or R skills and knowledge of Hadoop/Spark are essential.

Qualifications

• Proficiency in Python or R and good problem-solving skills.
• Experience with big data technologies such as Hadoop or Spark.
• Knowledge of machine learning algorithms and data science basics.
• Excellent communication and teamwork abilities.

Responsibilities

• Design and develop scalable data pipelines using big data technologies.
• Collaborate with cross-functional teams to identify business problems and develop solutions.
• Develop and maintain large-scale data warehouses and data lakes.
• Implement machine learning models to drive business growth.
• Work with stakeholders to understand requirements and deliver high-quality results.
• Stay updated with industry trends and emerging technologies.

Skills

Python

R

Big data concepts

Tools

Hadoop

Spark

Job description

Roles and Responsibilities

• Design and develop scalable data pipelines using big data technologies.


• Collaborate with cross-functional teams to identify business problems and develop solutions.


• Develop and maintain large-scale data warehouses and data lakes.


• Implement machine learning models to drive business growth.


• Work with stakeholders to understand requirements and deliver high-quality results.


• Stay updated with industry trends and emerging technologies.

Job Requirements

• Strong proficiency in programming languages such as Python or R.


• Experience with big data technologies like Hadoop or Spark.


• Knowledge of machine learning algorithms and deep learning techniques.


• Excellent problem-solving skills and attention to detail.


• Ability to work collaboratively in a team environment.


• Strong communication and interpersonal skills.