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Senior Data Engineer - ML /Analytics

Fresher Jaipur, All India 07 Apr, 2026

Job Location	Jaipur, All India
Education	Not Mentioned
Salary	Not Disclosed
Industry	IT Services & Consulting
Functional Area	Not Mentioned
EmploymentType	Full-time

Job Description

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. 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.

Keyskills :
SparkSQLSnowflakePythonAirflowKafkaPower BITableauPySparkDatabricksMLflowDelta LakeCICDGreat Expectations

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