Principal Data Engineer responsible for building big-data solutions using PySpark and Databricks, writing and optimizing SQL, developing Python pipelines, and working with Hadoop/Hive, Git, Airflow/Dagster, and Azure.
Requirement 1: Principal Data Engineer
Location: Remote
Experience: 6 Years
Scadea Full Time, End Client – CX Data Labs
Exp in pyspark, writng and optimizing sql queries, exp in python, hands on exp in databricks for building big data solutions, hadoop/hive, exp with data versioning tools like GIT, Airflow , Dagster, exp with azure.
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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.


