Data Engineer

• Bachelor's degree in Computer science or equivalent, with minimum 10+ Years of Overall IT experience.
• 10+ years of experience in data engineering, data architecture, or related roles, with a proven track record of delivering enterprise-level solutions.
• Deep expertise in SQL, data modelling, ETL, and building scalable data pipelines.
• Strong hands-on experience with cloud data platforms (preferably Snowflake) and modern data engineering tools.
• Strong hands-on experience with Python, Shell scripting, and workflow automation.
• Demonstrated experience leveraging GenAI, LLMs, or AI/ML solutions for enterprise data, reporting, and analytics use cases.
• Proven ability to lead, motivate, and develop high-performing teams.
• Strong domain and functional knowledge in finance, investment banking, or related industries.
• Experience managing stakeholder relationships and delivering complex projects in a global environment.
• Strong understanding of modern SDLC, agile delivery, and innovation in data engineering.
• Familiarity with Power BI, Apache Airflow, and OLAP tools.
• Exposure to regulatory and financial reporting requirements.
• Demonstrated track record of driving innovation and GenAI adoption in data engineering projects.
• Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers.
• Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.

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