Tech Lead-Data Analytics

Company Description

About Sutherland: Sutherland is an experience-led digital transformation company focused on delivering exceptional experiences for both customers and employees. For over 36 years, we have been entrusted with caring for our clients’ customers- a responsibility we believe we should earn every day. We are dedicated to making those experiences as delightful as possible - instantaneous, relevant, predictive and frictionless. As an early pioneer in robotic automation, we added to our core through steady investment and acquiring key capabilities. Our design capabilities marry human insight, design-thinking, and process engineering. To make these designs come to life as envisioned by our designers, we employ the latest in robotic automation, conversational AI techniques with a range of AI-ML enhanced products and cloud based platforms. We believe that the best relationships come from trust and value. In addition to delivering exceptionally engineered experiences, we help our clients improve their productivity, reduce costs, enhance customer loyalty, build additional revenues, reduce time-to-market and efficiently enter new markets. We also stand by our results. Sixty-one percent of our business is outcome based, ensuring our success is clearly tied to our clients’ success. We think that is pretty simple for our clients to understand, and it adds to trust and transparency. Today, over 60 percent of our revenues come from clients with us for more than 11 years. Forty percent of our revenues come from Fortune-50, and 56 percent from Fortune-500 clients. Our digital backbone spans 144 countries around the world, with 61 delivery centers across 19 countries, handling over 43 million transactions a month for approximately 70 clients. We are a team of 40K+ global professionals, operationally effective, culturally meshed, and committed to our clients and to one another. We call it One Sutherland.

Visit our website to know more about us: https://www.sutherlandglobal.com/

LinkedIn: https://www.linkedin.com/company/sutherland-global/

Job Description

Job Summary:

We are seeking a skilled and experienced Data Engineer with expertise in Oracle Data Integrator (ODI) and Oracle Business Intelligence (OBI) to join our dynamic team. The ideal candidate will play a crucial role in designing, developing, and maintaining data integration and business intelligence solutions.

Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and implement effective data integration solutions using Oracle Data Integrator (ODI).
• Develop and optimize ETL processes to extract, transform, and load data from various sources into the data warehouse.
• Design and implement data models to support business intelligence and reporting needs using Oracle Business Intelligence (OBI).
• Ensure the reliability, scalability, and performance of data engineering solutions in a production environment.
• Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
• Stay updated on industry trends and best practices in Oracle ODI/OBI and contribute to continuous improvement initiatives.

Qualifications

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field with 5-8 years of experience in Data Engineering.
• Proven experience as a Data Engineer with a focus on Oracle ODI/OBI.
• Strong proficiency in Oracle Data Integrator (ODI) for ETL processes.
• Hands-on experience with Oracle Business Intelligence (OBI) for designing and developing BI solutions.
• Solid understanding of data modeling concepts and techniques.
• Excellent SQL skills for data manipulation and analysis.
• Familiarity with data warehousing principles and best practices.
• Strong problem-solving and analytical skills.
• Effective communication and collaboration skills.

Additional Information

Preferred Qualifications:

• Oracle ODI/OBI certifications.
• Experience with performance tuning and optimization of data integration processes.
• Knowledge of other data integration and BI tools.