Experience in architecting, developing, testing implementing Data Platform projects using Cloud Components
Must have worked with Structured and Unstructured data.
Experience in handling flatbuffers, protobuf is required
Hands on Experience on Data Warehousing, Data Profiling, Data Cataloging, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping
Strong understanding of storage technologies - Database, Data lake, Data warehouse, Data mart
Proficiency in Database technologies like SQL, bigQuery, terradata etc
Experience in programming skills like Python, Java, C/++ with object-oriented design is an added advantage
Strong understanding across cloud and infrastructure components (server, storage, network, data, and applications) to deliver end to end cloud infrastructure, architectures, and designs
Excellent logical, analytical, debugging and problem-solving skills
Strong communication skills
Key Job Responsibilities:
Design and implement the organizations data architecture, including the data models, data flow diagrams, and data dictionaries.
Develop and maintain the organizations data strategy, including data governance and data quality
Collaborate with business analysts, developers, and other stakeholders to understand the organizations data needs and requirements.
Develop and maintain data-related standards and best practices, including data modelling, data integration, and data warehousing.
Design and build optimized database and data engineering solutions to serve needs across the organization for faster retrieval and processing of the data.
Continuously Ideates and improvises on the requirements and apply new techniques and methods
Able to work independently contribute as a good team player
