Data Scientist for AI and Data Management
4 days ago
We are looking for a skilled Data Analyst with expertise in Generative AI Snowflake and ETL processes to join our dynamic team at LTIMindtree.
The ideal candidate will have strong analytical skills, a deep understanding of data infrastructure, and the ability to apply AI-driven insights to business problems.
- Analyze and interpret complex data sets using Generative AI models to generate insights and automate processes.
- Work extensively with Snowflake for data warehousing solutions ensuring optimized performance and scalable architecture.
- Develop and manage ETL pipelines to ingest, transform, and store data from multiple sources into structured databases.
- Collaborate with cross-functional teams including data engineers, data scientists, and business stakeholders to translate business requirements into technical solutions.
- Ensure data quality, accuracy, and consistency throughout the data lifecycle.
- Create interactive data visualizations and dashboards for real-time monitoring and reporting.
- Support the automation of data workflows and explore new ways to optimize data processing with AI-driven solutions.
To be successful in this role, you should have:
- A Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Proven experience with Generative AI models (e.g., GPT, BERT) and applying them to real-world data problems.
- Proficient in working with Snowflake for data warehousing and cloud-based data management.
- Strong understanding of ETL (Extract, Transform, Load) processes and tools (e.g., Apache Airflow, Talend, Informatica).
- Excellent skills in SQL, Python, and data query languages.
- Experience with data visualization tools like Tableau, Power BI, or similar.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Strong analytical, problem-solving, and communication skills.
It would be great if you have experience working with AI-ML models for predictive and prescriptive analytics, knowledge of data governance and security best practices in cloud environments, and certification in Snowflake or cloud platforms.
Note that experience working with finance and people datasets is also desirable.
Estimated SalaryThe estimated salary for this position is ₹1,200,000 - ₹1,800,000 per annum based on industry standards and location (Mumbai, Pune, Bangalore, Chennai, Hyderabad).
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