Data Engineer

Job Title:

Location: Bangalore

Experience : 10 + Years

About The Role

Data Engineer

WLO Program

WLO data loads

downstream reporting requirements

cross-functional squad

Data Portfolio, Assurance, Risk, Technology, and Operations

Data Mesh and Data Product architecture

Core Accountabilities

Key Responsibilities / Role Accountabilities

• Design and develop data structures and processes for ingestion, integration, and analytics layers using AWS (Lambda) and Google Cloud Platform (GCP) technologies such as:
• Cloud Run, CloudSQL, Google Cloud Storage, BigQuery, Vertex AI
• DBT (Data Build Tool) and Python
• Collaborate in a cross-skilled squad, integrating efforts across business and technology to deliver end-to-end data engineering capabilities.
• Contribute to data architecture design patterns for both on-premises and cloud-based solutions.
• Optimize and maintain data flows, building robust, fault-tolerant pipelines that clean, transform, and aggregate unstructured or messy data into well-organized datasets for business use.
• Implement automated controls to ensure data quality, process validation, auditability, and reconciliation.
• Support data sourcing, transformation, and validation activities to ensure alignment with business requirements and downstream consumption needs.
• Contribute to the continuous improvement of data engineering standards, documentation, and operational processes.
  

Key Skills

• Strong hands-on experience in data pipeline design, ETL/ELT development, and cloud data engineering.
• Practical experience with AWS and GCP cloud services (Lambda, BigQuery, Cloud Run, Vertex AI, etc.).
• Proficiency in Python and DBT, with a focus on automation, reusability, and scalability.
• Understanding of data governance, data quality, and audit/reconciliation controls.
• Experience working in Agile / cross-functional teams.
• Strong analytical, problem-solving, and communication skills.