Data Engineer

Project Role : Data Engineer

Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Must have skills : Data Engineering

Good to have skills : NA

Minimum 3 Year(s) Of Experience Is Required

Educational Qualification : 15 years full time education

Summary:

As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will be responsible for creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the integrity and quality of data is a key part of your role, along with implementing processes to extract, transform, and load data effectively. Your work enables seamless data migration and deployment, supporting the broader organizational data infrastructure and analytics needs.

Roles & Responsibilities:

• Expected to perform independently and become an SME.
• Required active participation/contribution in team discussions.
• Contribute in providing solutions to work related problems.
• Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
• Monitor and optimize data workflows to improve performance and reliability.
• Document data processes and maintain clear communication with stakeholders.
• Assist junior team members by sharing knowledge and providing guidance.
  
  
  

Professional & Technical Skills:

• Must To Have Skills: Proficiency in Data Engineering.
• Strong knowledge of data pipeline architecture and ETL processes.
• Experience with data storage solutions and database management.
• Ability to work with large datasets and ensure data quality and consistency.
• Familiarity with cloud platforms and distributed computing frameworks.
• Understanding of data security and compliance best practices.
• Design, develop and optimize robust data pipeline and ETL processes for large-scale data sets in Azure.
• Must have: ETL, data pipelines, Python, Azure services, Ansible,
• Nice to have: SQL, databases, data warehouse, DevOps, software development, REX, Real-time processing (Kafka), big data.
  
  
  

Additional Information:

• The candidate should have minimum 3 years of experience in Data Engineering.
• This position is based at our Pune office.
• A 15 years full time education is required.
  
  
  

, 15 years full time education