Develop and support data engineering workflows using Python and DataFrames. Build reliable ETL pipelines, design relational or dimensional data models, and migrate data across storage systems, formats, and environments.
This is a remote position.
Python programming with strong proficiency.
DataFrames, especially using libraries like pandas (or PySpark DataFrames).
ETL pipeline development: building reliable data ingestion, transformation, and loading processes.
Data modeling: designing schemas, working with relational or dimensional models.
Data migration: moving data between storage systems, formats, or environments.
✨ Nice-to-Have
(Interestingly, these echo the mandatory list, suggesting prioritization of above core skills):
Python
DataFrames
ETL pipelines
Data modeling
Data migration
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Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
