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Jaipur · On-site · 3-5 Yrs · Oct 17
1001 to 5000 Employees · Jaipur, India
4 open roles0 posted in 7d4 in 30d
Hiring: Engineering
Interview experience · Merchandising Intern
It was an online interview and we were sent a link to join. It was great meeting the seniors and it was clear and precise information. I answered confidently and precisely.
Average difficulty · Jaipur, Rajasthan · 1 reports
More interview insightsJob description
Overview
You will be responsible for building scalable data pipelines and delivering advanced analytics/ML solutions using Spark, Databricks, Glue, and Snowflake.
Responsibilities
- will include:- Build and maintain Spark/Databricks data pipelines
- Develop ETL/ELT workflows using Glue/Databricks
- Model and optimize data in Snowflake
- Build and deploy ML models using Python, scikit-learn, and MLflow
- Perform feature engineering, model validation, and monitoring
- Deliver analytical insights and collaborate closely with stakeholders
- Ensure data quality, governance, and documentationQualifications required for this role are:- Strong PySpark/Spark skills
- Hands-on experience with Databricks
- Advanced SQL knowledge (Snowflake preferred)- Experience in ML modeling and deployment using MLflow
- Strong Python skills and data engineering fundamentals
- Experience with large-scale data (Delta Lake/Lakehouse)- Experience with Airflow/CI/CD- Familiarity with data quality tools such as Great Expectations
- Knowledge of streaming technologies like Kafka/Kinesis
- Experience in dashboarding using Power BI/TableauIf you are interested in learning more about this role, please send your updated CV to the email address provided or share this opportunity with someone who may be a good fit. You will be responsible for building scalable data pipelines and delivering advanced analytics/ML solutions using Spark, Databricks, Glue, and Snowflake. Your
- will include:- Build and maintain Spark/Databricks data pipelines
- Develop ETL/ELT workflows using Glue/Databricks
- Model and optimize data in Snowflake
- Build and deploy ML models using Python, scikit-learn, and MLflow
- Perform feature engineering, model validation, and monitoring
- Deliver analytical insights and collaborate closely with stakeholders
- Ensure data quality, governance, and documentationQualifications required for this role are:- Strong PySpark/Spark skills
- Hands-on experience with Databricks
- Advanced SQL knowledge (Snowflake preferred)- Experience in ML modeling and deployment using MLflow
- Strong Python skills and data engineering fundamentals
- Experience with large-scale data (Delta Lake/Lakehouse)- Experience with Airflow/CI/CD- Familiarity with data quality tools such as Great Expectations
- Knowledge of streaming technologies like Kafka/Kinesis
- Experience in dashboarding using Power BI/TableauIf you are interested in learning more about this role, please send your updated CV to the email address provided or share this opportunity with someone who may be a positive fit. .
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Senior Data Engineer - ML /Analytics (Jaipur) at Recognized?
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- Is Senior Data Engineer - ML /Analytics (Jaipur) remote or on-site in Jaipur, Rajasthan?
- This listing is marked on_site with location Jaipur, Rajasthan. Confirm details on the job description before applying.
- What skills matter for this Senior Data Engineer - ML /Analytics (Jaipur) role at Recognized?
- This is a senior Senior Data Engineer - ML /Analytics (Jaipur) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.