Job Description

We are seeking a Data Engineer, to play a critical role in maintaining and optimizing data pipelines to ensure seamless data flow across our insurance-focused business operations.Location- Delhi NCRYour Future Employer- Global analytics and digital solutions company serving industries including insurance, healthcare, banking and financial services, media, retail, and others.Responsibilities-Develop and maintain scalable and efficient data pipelines, addressing any issues or bottlenecks.Implement robust data checks to ensure accuracy and integrity of data.Monitor data jobs for successful completion, troubleshooting and resolving issues as needed.Regularly review and audit data processes for compliance with internal standards and regulatory requirements.Work closely with data analysts, IT professionals, and business stakeholders to understand data needs and deliver solutions.Requirements-Bachelor\'s degree in computer science, Information Technology, or related field.Proven experience as a Data Engineer or similar role.Strong proficiency in Databricks, SQL, and SAS.Experience with data modeling, ETL processes, and data warehousing.Excellent analytical and problem-solving skills with attention to detail.Preferred: Knowledge of insurance industry data requirements, experience with cloud computing services (AWS, Azure).What is in for you-A stimulating working environment with equal employment opportunities.Growing of skills while working with industry leaders and top brands.A meritocratic culture with great career progression.Reach us- If you feel that you are the right fit for the role please share your updated CV atDisclaimer- Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status.Profile Keywords- Databricks, SQLPython, Pyspark, Data Engineer, Data Migration

Crescendo Global