Qualifications
Key Responsibilities:Develop and sustain ETL pipelines using Ab Initio for processing and transforming extensive datasets. Craft efficient SQL queries to extract, manipulate, and analyze data from diverse sources. Employ Python for data processing, automation, and analytics tasks. Utilize AWS cloud services to manage and analyze data in cloud environments. Conduct data validation, quality checks, and troubleshooting for data pipelines. Create reports, dashboards, and insights that drive business decisions. Collaborate with data engineers, analysts, and business stakeholders to ascertain requirements. Ensure data accuracy, consistency, and governance across systems. Requirements:Proficient programming experience in Python (Java is acceptable). Hands-on experience with AWS cloud services. Experience in building and supporting microservices architecture. Familiarity with Node.js for backend/API development. Exposure to the Angular frontend framework. Strong understanding of REST APIs and distributed systems. Experience with CI/CD pipelines and DevOps practices.
About the job
Tiger Analytics, a leader in advanced analytics consulting, is seeking a skilled Data Analyst to join our dynamic team. As the trusted analytics partner for several Fortune 500 companies, we empower organizations to unlock significant business value from their data. Our excellence in analytics has been recognized by esteemed market research firms like Forrester and Gartner. We are committed to building an exceptional global analytics consulting team and are looking for talented individuals to join us on this journey.
In this role, you will leverage your expertise in Python, SQL, ETL processes, and AWS cloud technologies. The ideal candidate will possess hands-on experience with Ab Initio for ETL, adeptly constructing data pipelines and performing comprehensive data analysis to facilitate informed business decisions.
This position requires a professional who is comfortable navigating large datasets, transforming data, and collaborating with cross-functional teams in a fast-paced setting.