Data Scientist - Senior

About the role

Leads the design, development, deployment, and maintenance of data and analytics platforms. Develops reliable, scalable, and efficient data pipelines and data processing solutions that enable data to be effectively processed, stored, governed, and made available to analysts and other data consumers.

What you'll do

• Design, develop, and automate distributed data ingestion and transformation solutions using data from relational, event-based, semi-structured, and unstructured sources
• Build reliable, scalable, and efficient ETL/ELT data pipelines using appropriate tools, technologies, and scripting languages
• Design and implement data quality, validation, monitoring, and alerting frameworks to identify and resolve data integrity issues
• Implement data governance practices covering metadata, data access, retention, compliance, and security
• Design and implement physical data models, including database structures, indexing, and table relationships, to support performance and scalability

What you need

• 8–14 years in data science & ai
• SQL
• Machine learning
• ETL
• Data warehousing
• Python
• Spark
• B.Tech or B.E. or B.Sc or BCA

Good to have

• Databricks
• Kafka
• Snowflake
• Azure
• CI/CD
• Scala