Role & responsibilities

- Expert proficiency in Python and SQL.
- Experience in parsing and flattening complex XML and JSON payloads.
- Robust knowledge of the Google Cloud Platform (GCP) ecosystem, including BigQuery schema design, Google Cloud Storage (GCS), and Identity and Access Management (IAM).
- Familiarity with GCP data ingestion services and patterns, such as BigQuery Data Transfer Service and Cloud Data Fusion.
- Hands-on experience in building end-to-end data pipelines and automating ETL/ELT workflows.
- Experience integrating with Infor ION API endpoints.
- Ability to design, deploy, and manage data warehouse architectures on Google Cloud Platform (GCP).

Preferred candidate profile

- Lead the design and development of scalable data pipelines and data architectures on Google Cloud Platform (GCP).
- Develop, maintain,



and optimize ETL/ELT processes to automate data integration and workflow execution.
- Design and optimize BigQuery schemas to ensure high performance, scalability, and cost efficiency.
- Manage data ingestion from multiple sources, including Infor ION API endpoints.
- Implement and enforce security best practices using Identity and Access Management (IAM) roles and permissions.
- Collaborate with cross-functional teams, including Data Engineers, Analysts, and Business Stakeholders, to ensure data quality, integrity, and availability.
- Monitor, troubleshoot, and optimize data pipeline performance, reliability, and overall system health.

📌 Lead Data Engineer - GCP (India)
🏢 Elabs Infotech
📍 India