Senior Data Engineer

About the role

"-The candidate is responsible for designing, creating, deploying, and maintaining an organization's data architecture. -To ensure that the organization's data assets are managed effectively and efficiently, and that they are used to support the organization's goals and objectives.

What you'll do

• Ensure that the organization's data assets are managed effectively and efficiently, and that they are used to support the organization's goals and objectives
• Responsible for ensuring that the organization's data is secure, and that appropriate data governance policies and procedures are in place to protect the organization's…
• Developing data models, defining data standards and guidelines, and establishing processes for data integration, migration, and management
• Lead and mentor a team of data engineers in the design and development of datapipelines, ETL processes, and data integration solution
• Architect and optimize data storage and retrieval systems for large-scale dataprocessing

What you need

• 5–8 yrs of experience
• Machine learning
• SQL
• Python
• Spark
• BigQuery
• GCP
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• AWS
• Databricks
• Snowflake
• Azure
• ETL