Senior Data Engineer - ML /Analytics

RED is now looking for a hybrid Data Engineer + Data Scientist who can build scalable data pipelines and deliver advanced analytics/ML solutions. You’ll own end‑to‑end data workflows using Spark, Databricks, Glue and Snowflake.Job Details :Duration – 6 Months + ExtensionLocation – Remote, India. Capacity – 5 Days/Week, 8 Hours/day – CET Hours Start – April 2026Key ResponsibilitiesBuild and maintain Spark/Databricks data pipelinesDevelop ETL/ELT workflows (Glue / Databricks)Model and optimise data in SnowflakeBuild and deploy ML models (Python, scikit‑learn, MLflow)Perform feature engineering, model validation, and monitoringDeliver analytical insights and work closely with stakeholdersEnsure data quality, governance and documentation Required SkillsStrong PySpark / SparkHands‑on Databricks experienceAdvanced SQL (Snowflake preferred)Experience with ML modelling + deployment (MLflow)Strong Python and data engineering fundamentalsExperience with large-scale data (Delta Lake / Lakehouse)Airflow / CI/CD experienceData quality tools (e.g., Great Expectations)Streaming (Kafka/Kinesis)Dashboarding (Power BI/Tableau)If you would like to learn more about this role , please could you send me your updated CV - or share it with someone who is currently looking.Thanks,Nisha

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