Must-Haves :

Data Science,Python,Machine Learning,AWS,AZURE,SPARK - Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

- 8–12 years of experience in data engineering, data science, or related domains.
- Hands-on experience with SQL, Python, and distributed data systems.
- Knowledge of machine learning techniques and statistical analysis.
- Experience with cloud data platforms (Azure Data Factory, AWS Glue, GCP BigQuery).
- Familiarity with DevOps practices and CI/CD for data pipelines.

Platforms & Operations Experience (Preferred)
- Experience working with Azure, AWS, or Google Cloud data tools.
- Operational experience with data orchestration tools (Airflow, ADF, Glue).
- Understanding of Kubernetes, Docker, or containerized environments.
- Hands-on experience with data warehousing platforms (Snowflake, Redshift, BigQuery).
- Experience in monitoring, logging, and alerting operations for data workflows.

Excellent communication, stakeholder management Job Stability - min 2 years in an organization





Notice Period - Immediate to 45days

Strict No-Nos :

NA

Additional Guidelines :

Interview process - 2 technical + 1 client round + HR

Local candidates are preferred.

Source candidates with excellent communication skills only. There will be no compromise on communication, as this is a client-facing role that involves regular interaction with the team.

Please note that the salary mentioned is the maximum budget approved by Client for this role. Kindly share candidates who meet the minimum relevant experience requirement and are aligned with the specified salary range.

The salary range mentioned is for your reference. The salary bracket is being shared strictly for your reference and screening purposes only. Please do not disclose or communicate the budget range to candidates during your discussions.

Pay: ₹1,500,000.00 - ₹3,400,000.00 per year

Perks

- Flexible schedule

Work Location: In person

📌 Data Scientist (Pune)
🏢 INTAS INFOTECH PRIVATE
📍 Pune