Description

You will lead data engineering efforts for EDP cloud modernization and source data migration. You will design, build, and manage data pipelines within a Google Cloud data lake environment. Your work involves migrating legacy data to GCP, optimizing analytics queries, and ensuring robust data architecture.

Responsibilities

• Build and manage data pipelines for ingestion, processing, and transformation using Google Cloud services.
• Design and implement scalable data architecture within a data lake environment.
• Execute complex data migration tasks from legacy systems (Teradata, Oracle) to Google Cloud Platform.
• Develop analytical queries to solve complex data problems and support business intelligence.
• Utilize ETL/ELT tools and Unix Shell scripting to automate data workflows.

Required Skills

• 8-10 years of experience in data engineering roles.
• Proficiency in Google Cloud services: BigQuery, Dataproc, Cloud Storage, Dataflow, Pub/Sub, and Cloud Composer.
• Strong programming skills in Python, PySpark, and SQL.
• Hands-on experience with Hadoop and Hive ecosystems.
• Experience with relational databases such as Teradata or Oracle.
• Experience with ETL/ELT tools like Informatica.
• Ability to work with NoSQL databases such as MongoDB.
• Unix Shell scripting experience.
• Any graduate degree.

Preferred Skills

• Experience with cloud migration projects.
• Healthcare domain knowledge.

Key Skills

Education

ANY GRADUATE