EY - GCP Data Engineer - Python/Hadoop (4-10 yrs)

We are looking for dynamic "GCP Data Engineer" to work on groundbreaking projects at the intersection of technology & society.

The ideal candidate will have 4+ years of hands-on experience in designing, building, and managing data pipelines on Google Cloud Platform (GCP), with expertise in Dataproc, Big Query, Data fusion, Cloud Composer ,Data warehousing, SQL, Python, PySpark, and Hadoop.

- Strong proficiency in SQL for querying large datasets.

- Hands-on experience with Google Cloud Platform (GCP), particularly BigQuery, Dataproc, and Cloud storage, cloud composer, Datawarehousing.

- Expertise in Python and PySpark for data processing.

- Experience with the Hadoop ecosystem (HDFS, Hive, Pig, etc.).

- Familiarity with data pipeline orchestration tools (e.g., Apache Airflow).

- Strong problem-solving skills and the ability to optimize performance in large-scale data environments.

- 4+ years of experience in data engineering, with a focus on Google Cloud Platform.

- Experience with both structured and unstructured data processing.

Location : Gurgaon/Gurugram