Capco - Data Engineer - Prompt Engineering (3-6 yrs)

Job Title : Data Engineer.

About Us :

"Capco, a Wipro company, is a global technology and management consulting firm.

Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount.

With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors.

We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO ?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry.

The projects that will transform the financial services industry.

MAKE AN IMPACT :

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business.

Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK.

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT :

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION :

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT :

Job Title : Data Engineer.

Key Responsibilities :

- Develop and refine prompts for various AI models, including large language models (LLMs), to optimize performance and achieve desired outcomes.

- Explore and implement Gen AI solutions across different business domains, such as customer service, marketing, and operations.

- Stay abreast of the latest advancements in Gen AI and their potential applications within the organization.

- Leverage the Microsoft ecosystem, including AI Builder and Power Platform, to build and deploy AI-powered solutions.

- Utilize tools like Power BI, Power Apps, and Azure services to create data-driven applications and dashboards.

- Integrate AI Builder models into business processes and applications.

- Design, develop, and maintain data pipelines and ETL processes using various tools and technologies.

- Ensure data quality, accuracy, and consistency throughout the data lifecycle.

- Optimize data storage and retrieval processes for efficient data access and analysis.

- Collaborate with data scientists to translate business requirements into technical specifications for data models and pipelines.

- Support data science initiatives by providing data preparation, feature engineering, and model deployment support.

- Assist in the evaluation and selection of appropriate AI/ML algorithms and techniques.

Qualifications :

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- 3+ years of experience as a Data Engineer or a similar role.

- Strong experience in prompt engineering, Gen AI, and AI/ML concepts.

- Proficiency in the Microsoft ecosystem, including AI Builder, Power Platform, and Azure services.

- Expertise in data integration technologies and tools (e.g., ETL tools, data warehousing, data lakes).

- Experience with data modeling, data warehousing, and data quality best practices.

- Strong programming skills in Python and experience with SQL.

- Experience with cloud computing platforms (e.g., Azure, AWS, GCP) is a plus.

- Excellent communication, collaboration, and problem-solving skills.

- A strong passion for learning and staying up-to-date with the latest advancements in AI and data technologies.