Back to results: hr management tools / kharhial, IN
Posted on: 21 Feb 2024
Job Location: New Delhi, IN
Job Description:
Concentrix is a technology-enabled global business services company specializing in customer engagement and business performance.
With more than 2,85,000 staff, Concentrix is present across 40 countries and six continents. We are considered as a category leader in the CXM (Customer Experience Management) Services.
We serve automotive; banking and financial services; insurance; healthcare; technology; consumer electronics; media and communications;
retail and e-commerce.travel and transportation; and energy and public sector clients. In India, Concentrix has a legacy of more than 20 years and are present in 13 cities.
We have created disruption in the marketplace with high-profile acquisitions over the years from IBM Daksh to Convergys in recent years.
Our key capabilities include Digital Transformation & Marketing Solutions, Analytics & Consulting, Customer Engagement & Customer Experience Insights.
Major organizations across India use our IT solutions in banking / insurance space. You may please visit the website for more details : www.
concentrix.com.We are looking for an expertise into SQL, GCP and Python primarily.Experience overall - 9-15 years9 years work experience as a data engineerMinimum 5+ years' experience in Data Warehouse design for complex Data Platform.
Experience with star schemas, dimensional modeling, and extract transform load (ETL) design.Knowledge of data modeling using Kimbal and Inmon methodologiesRecent 5+ years in Big Data Ecosystem.
Expertise in cloud-based data platforms, such as AWS OR GCP. In-depth knowledge of data modeling concepts and techniques, including relational, dimensional, and NoSQL data models.
Python expert responsible for designing, coding development projects related to data pipelines that create data for valuable insights.
Expert understanding of architectural and data warehouse design principles and data integration.Expert with data integration technologies like Kafka and Spark.
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