1.Design, develop, and maintain scalable data pipelines and systems.
2.Implement and manage data warehousing solutions using Snowflake.
3.Develop interactive data applications and dashboards using Streamlit.
4.Utilize Snowflake Cortex for advanced data analytics and machine learning.
5.Leverage AWS Bedrock for foundational cloud services.
6.Orchestrate data workflows using AWS Airflow.
7.Integrate and manage data streams with StreamSets.
8.Perform ETL processes using AWS Glue.
9.Write and optimize complex SQL queries and stored procedures.
10.Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
Key Skills
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- Posted
- Jun 10, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Delhi
- Company
- Tata Consultancy Services
Industries
Categories
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3 roles aligned with this opportunity
Lead I - Data Science(Python+AI)
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