Software Engineer III - Data Engineer

le, and secure data solutions through close collaboration with data engineers, software teams, data scientists, quants, product owners, and senior stakeholders.

Job Responsibilities

• Contribute to the design and implementation of modern, scalable data solutions across hybrid cloud and on-prem environments, supporting both OLTP and OLAP requirements.

• Develop and maintain high-quality data models, ETL/ELT pipelines, and data integration processes.

• Participate in initiatives to consolidate, de-duplicate, and migrate legacy Oracle databases and big data platforms to modern, cloud-based data platforms.

• Apply and promote best practices in data engineering, security, risk management, regulatory compliance, and automation.

• Collaborate cross-functionally with software engineering, analytics, and business teams to deliver data solutions aligned with business objectives.

• Ensure data quality, governance, and metadata management across all data assets.

• Troubleshoot and resolve complex issues related to data duplication, quality, modeling, and ownership.

• Present technical strategies, architecture decisions, and project updates to stakeholders.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience.

• Hand-on experience in data engineering, with a proven track record of leading large-scale data architecture and transformation projects in hybrid cloud and on-prem environments.

• Expertise in data modeling, database design, big data technologies, cloud data platforms (AWS, Azure, GCP), and modern data tools (e.g., Snowflake, Databricks, Airflow).

• Strong experience architecting and optimizing transactional and analytical data systems.

• Mastery of ETL/ELT pipelines, data migration, data quality frameworks, data governance, and metadata management.

• Proficiency in enterprise-grade languages (e.g., Python) and data modeling & engineering tools.

• Solid background in data security, risk management, and regulatory compliance.

• Action-oriented, decisive, drives results systematically.

• Skilled at assessing risk and making decisions with a holistic, big-picture perspective.

• Demonstrates a can-do attitude and leads by example.

• Detail-oriented, able to distinguish between important and urgent tasks.

Preferred qualifications, capabilities, and skills

• Experience in banking or financial domain