Description

You will design and implement scalable data pipelines and architectures within the Google Cloud Platform ecosystem.

This role is remote.

Responsibilities

• Build and maintain ETL processes using Informatica and Python to manage large datasets.
• Design data models and data warehousing solutions to support business intelligence needs.
• Transform raw data into actionable insights through pattern discovery and analysis.
• Develop advanced SQL queries for data mining and reporting requirements.
• Architect scalable data structures to solve complex business challenges.

Required Skills

• 7+ years of experience in Data Engineering, BI, or Data Analysis.
• Strong expertise in Google Cloud Platform (GCP).
• Proficiency in Python for data engineering tasks.
• Hands-on experience with Apache Hadoop and Spark.
• Experience with ETL processes and Informatica.
• Solid understanding of Data Modeling and Data Warehousing principles.
• Proven ability to work with large-scale datasets.
• Background in Banking or Financial Services domain.

Preferred Skills

• Experience in large-scale data transformation projects.
• Ability to translate business problems into technical data solutions.

Key Skills

Education

Any Graduate