Description

You will design and maintain scalable data pipelines for real-time analytics.

This role is on-site.

Responsibilities

• Develop and optimize ETL/ELT processes for structured and unstructured data from MongoDB, PostgreSQL, and custom APIs.
• Architect and manage cloud-native data infrastructure and warehouses within Google Cloud Platform (BigQuery).
• Orchestrate data transformations using Cloud Composer and Airflow DAGs.
• Enable trusted, analytics-ready datasets to support Tableau dashboards.
• Implement data monitoring, logging, and observability frameworks to ensure data quality and security.

Required Skills

• 10+ years of Data Engineering experience with Big Data and BI tool exposure.
• Strong proficiency in Python and SQL for data ingestion, processing, and manipulation.
• Expertise with Google Cloud Platform (BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer).
• Experience building data connectors for relational (PostgreSQL) and non-relational (MongoDB) databases.
• Proven experience implementing CI/CD practices using Git and Jenkins.
• Solid understanding of ETL/ELT processes and data warehousing concepts.
• Familiarity with data modeling principles and cloud computing standard processes.

Preferred Skills

• Experience with automated testing and software development methodologies.

Key Skills

Education

Bachelor's degree