About the Role

We are seeking a highly skilled Data Engineering Specialist to join our team. The ideal candidate will have 6 to 10 years of experience in designing and implementing robust data solutions with a strong focus on automation of Quality assurance work via coding . Knowledge of Python and Power BI is a plus

Key Responsibilities

• Design , develop and maintain QA automation framework using coding skills.
• Implement Python techniques for automation and performance optimization.
• Advanced power automate and power BI skills using fabric for automation.
• Build Test scripts for automated testing.
• Collaborate with business and analytics teams to understand requirements and deliver scalable solutions.
• Ensure data quality, consistency, and performance across systems.
• Support ad-hoc data engineering tasks and contribute to process automation.

Required Skills

• 6-10 years of experience in data automation and Quality assurance.
• Strong proficiency in advanced automation skills , SQL understanding
• Hands on experience on power automate , power BI and python basic skills
• Excellent problem-solving, communication, and collaboration skills.

Nice to Have

• Experience with Power BI for data visualization.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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