Description

You will develop, optimize, and maintain data pipelines and infrastructure.

Responsibilities

• Design and implement end-to-end ETL pipelines to extract and transform data from diverse sources.
• Write and optimize complex SQL queries for data extraction, transformation, and reporting.
• Leverage Google Cloud Platform services to enhance data processing and storage capabilities.
• Document data pipelines, procedures, and best practices to facilitate knowledge sharing.
• Collaborate with analysts and data scientists to provide structured data for analysis.

Required Skills

• 5+ years of experience in data engineering.
• Advanced SQL expertise for data transformation and complex querying.
• Proficiency in Python or PySpark.
• Experience with Google Cloud Platform (GCP) services.
• Familiarity with version control tools such as GitHub or GitLab.
• Any Graduate degree.

Preferred Skills

• Knowledge of Big Data Architecture and data warehouse concepts.
• Experience in the Marketing Analytics domain.

Key Skills

Education

Any Graduate