Data Engineer

Job Title: Data Engineer (Databricks)

Experience: 5+ Years

Location: Remote

Notice Period: Immediate

Key Responsibilities 

Data Engineering & ETL Pipelines-

· Design, build, and optimize scalable ETL/ELT pipelines using Databricks (primary platform) 

· Process structured and unstructured data from multiple sources (sales, marketing, supply chain) 

· Build robust data ingestion, transformation, and orchestration workflows Feature Engineering & ML Enablement · Develop advanced feature engineering pipelines to support forecasting and ML models 

· Integrate: o Promotions data o Marketing campaigns o Media plans o External signals (seasonality, trends) 

· Build reusable feature stores and datasets for ML teams Marketing & Forecasting Data Integration 

· Enable datasets for: o Demand forecasting models o Marketing mix modeling o Campaign performance analytics 

· Collaborate with Data Scientists to operate models into production pipelines Modern Data Platform & Architecture

· 3–6+ years of experience in Data Engineering / Big Data Engineering 

· Strong hands-on experience with databricks, Python and SQL. 

· Experience building end-to-end ETL pipelines and data workflows

· Work with: 

· Databricks (Top Priority – Lakehouse architecture) o Palantir (Secondary – data integration & operational analytics) o Snowflake (Tertiary – Data Warehouse layer) 

· Design data lake + warehouse hybrid architectures 

Data Engineering & ETL Pipelines-

· Design, build, and optimize scalable ETL/ELT pipelines using Databricks (primary platform)

· Process structured and unstructured data from multiple sources (sales,marketing, supply chain

· Build robust data ingestion, transformation, and orchestration workflows