You will be responsible for building scalable data pipelines and delivering advanced analytics/ML solutions using Spark, Databricks, Glue, and Snowflake. Your key 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:- Solid 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 key 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.

📌 Senior Data Engineer - ML /Analytics (Jaipur)
🏢 Important Business
📍 Jaipur