Treasure Data CDP - Virtual Interview Cognizant
Cognizant
Office Location
Full Time
Experience: 5 - 5 years required
Pay:
Salary Information not included
Type: Full Time
Location: Chennai
Skills: JavaScript, Python, Treasure Data CDP, SQL Query, DigDag
About Cognizant
Cognizant is a multinational information technology services and consulting firm headquartered in the United States. Its headquarters are located in Teaneck, New Jersey, in the United States. Cognizant is listed on the NASDAQ-100 under the symbol CTSH.
Job Description
Job Summary We are seeking a Developer & Sr. Developer with 5 to 8 years of experience to join our team. The ideal candidate will have expertise in Treasure Data CDP JavaScript, Python and SQL Query. This is a hybrid role with day shifts and no travel required. Responsibilities Developer: Configure and manage the Treasure Data CDP, including data ingestion, unification and segmentation. Develop, monitor, and optimize data workflows using Treasure Data pipelines. Integrate multiple data sources (e.g., CRM, marketing tools, product data) with Treasure Data to create a unified view of customers. Build and manage real-time and batch data ingestion pipelines. Troubleshoot and resolve issues related to data ingestion, workflow execution, and system performance. knowledge about Report creation Having hands on experience in SQL Query , Python . Having knowledge on any workflow management tool preferably DigDag. Clear understanding of Marketing use cases is a plus Responsibilities Senior Developer: Must have Treasure Data CDP project experience and good understanding about CDP Concepts like unification, segmentation. Experience in handing project Data life cycle , ETL process . having knowledge on JavaScript. Clear idea about transformation, unification . knowledge about Report creation Having hands on experience in SQL Query , Python . Having knowledge on any workflow management tool preferably DigDag. Have experience in monitoring or scheduling batch /Realtime jobs. Clear understanding of Marketing use cases is a plus,