We are seeking a highly skilled Data Engineer to join our global data engineering team responsible for building and supporting enterprise-scale data platforms, data pipelines, and analytics solutions. The team develops and manages data messaging platforms and data repositories that store transactional, reference, and aggregated risk data for real-time and batch processing across operational data stores, archives, and data marts.
This role is primarily an Individual Contributor (IC)position with partial ownership of project delivery, stakeholder coordination, and technical leadership responsibilities. The ideal candidate will be hands-on in developing scalable data solutions while collaborating with globally distributed teams, business stakeholders, and support partners to ensure successful project execution.
The development environment follows Agile (Scrum) methodologies and modern DevOps practices, requiring robust technical expertise, ownership, communication skills, and the ability to drive deliverables independently.

Key Responsibilities
Data Engineering & Development
Design,



develop, and maintain scalable and high-performance data pipelines using PySpark and Databricks.
Build and optimize ETL/ELT processes for processing large-scale structured and unstructured datasets.
Develop efficient data transformation frameworks and ingestion pipelines from multiple source systems.
Write high-quality, optimized SQL queries, stored procedures, and data processing logic.
Ensure data quality, reliability, scalability, and performance across data platforms.
Automate data processing and operational tasks through Python-based frameworks and scripting.
Participate in database design, data modeling, data integration, and optimization initiatives.
Technical Leadership & Project Ownership
Own and drive assigned workstreams from design through implementation and production deployment.
Collaborate with business users, product owners, architects, and cross-functional teams to transla

📌 Data Engineer (Bengaluru)
🏢 wissen technology
📍 Bengaluru