Data Scientist / Engineer

Snowrelic Inc; India; Hybrid; INR 800,000 - 1,200,000; Full time

Job summary

Snowrelic Inc is looking for a hybrid Data Engineer + Data Scientist in India, preferably Hyderabad. The ideal candidate will build scalable data pipelines and deliver advanced analytics and ML solutions using tools like Spark, Databricks, and Snowflake.

The role includes responsibilities for developing ETL workflows, maintaining data quality, and collaborating with stakeholders to deliver insights. This is a full-time position requiring 5 days a week at 8 hours per day.

Qualifications

• Strong experience with PySpark/Spark for data processing.
• Hands-on experience using Databricks to build pipelines.
• Advanced SQL knowledge, preferably with Snowflake.
• Proficient in ML modelling and deployment using MLflow.
• Strong foundation in Python and data engineering.
• Experience handling large-scale data solutions.

Responsibilities

• Build and maintain Spark/Databricks data pipelines.
• Develop ETL/ELT workflows using Glue and Databricks.
• Model and optimize data in Snowflake.
• Build and deploy ML models using Python and ML tools.
• Perform feature engineering and monitor model performance.
• Deliver analytical insights to stakeholders.
• Ensure data quality, governance, and documentation.

Skills

PySpark / Spark

Databricks

Advanced SQL

ML modelling

Python

Data engineering fundamentals

Large-scale data

Tools

Glue

Snowflake

MLflow

Delta Lake

Job description

We re 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 + Extension
• Location Remote, India. Preferably Hyderabad
• Capacity 5 Days/Week, 8 Hours/day CET Hours Overlap

Key Responsibilities

• Build and maintain Spark/Databricks data pipelines
• Develop ETL/ELT workflows (Glue / Databricks)
• Model and optimise data in Snowflake
• Build and deploy ML models (Python, scikit learn, MLflow)
• Perform feature engineering, model validation, and monitoring
• Deliver analytical insights and work closely with stakeholders
• Ensure data quality, governance and documentation

Required Skills

• Strong PySpark / Spark
• Hands on Databricks experience
• Advanced SQL (Snowflake preferred)
• Experience with ML modelling + deployment (MLflow)
• Strong Python and data engineering fundamentals
• Experience with large-scale data (Delta Lake / Lakehouse)

Nice to Have

• Airflow / CI/CD experience
• Data quality tools (e.g., Great Expectations)
• Streaming (Kafka/Kinesis)
• Dashboarding (Power BI/Tableau)