Senior Data Engineer (Databricks)

At ZentixSoft, we are expanding our banking outstaffing operations and are looking for a strong Senior Data Engineer (Databricks) for a long-term enterprise banking initiative.

Below are the core details and parameters of the request:

Domain: Banking / Financial Services.
Format: 100% Remote.
Duration: Initial 3-month contract with planned extension through 2029 (Long-term project).
Start Date: ASAP.

🎯 Key Requirements (Must-Have):
Banking & ETL/ELT Experience: 5+ years of commercial experience as an ETL/ELT Data Engineer in complex financial services or banking environments handling big data sets.
Databricks & Core Tech: Direct production experience with Databricks (mandatory), alongside ETL/ELT tools (ODI, dbt Cloud), orchestration (Airflow, ODI), and GitHub.
Data Engineering & Quality: Solid background in metadata-driven development, designing scalable technical data models, performance tuning/troubleshooting, and implementing Data Quality (DQ) rules.
Ownership & Independence: Ability to take full ownership of tasks, perform 2nd/3rd level support, mentor team members, and drive delivery without micromanagement.
Communication: Strong English communication skills for effective collaboration in an Agile framework.

Nice to Have

• Experience working within the financial services industry
• Familiarity with cloud platforms (e.g., AWS)
• Experience with DevOps practices and tools for continuous integration and continuous deployment (CI/CD)
• Experience with near real time processing
• Experience with reporting tools and their inpact on data layers
• Conceptual understanding with Data Governance tools: Glossary, Data quality, RDM
• Prior experience with building proactive monitoring solution components for reporting infrastructure