Job Description

8-10 years’ experience in consulting or IT experience supporting Enterprise Data Warehouses & Business Intelligence environments, including experience with data warehouse architecture & design, ETL design/development, and Analytics.

·         Responsible for defining the data strategy and for ensuring that the programs and project align to that strategy. 

·         Provides thought leadership in following areas: 

-Data Access, Data Integration, Data Visualization, Data Modeling, Data Quality and Metadata management

-Analytics, Data Discovery, Use Statistical methods, Database Design and Implementation 

·         Expertise in Database Appliance, RDBMS, Teradata, Netezza

·         Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.

·         Experience in ETL and Data Migration Tools.

·         Direct experience in implementing enterprise data management processes, procedures, and decision support.

·         Responsible for defining the data strategy and for ensuring that the programs and project align to that strategy. 

·         Strong understanding of relational data structures, theories, principles, and practices.

·         Strong familiarity with metadata management and associated processes.

·         Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.

·         Demonstrated expertise with repository creation, and data and information system life cycle methodologies.

·         Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.

·         Ability to manage data and metadata migration.

·         Experience with data processing flowcharting techniques.

·         Hands on Experience in Big Data Technologies(5 years)- Hadoop, MapReduce, MongoDB, and Integration with the Legacy environments would be preferred .

·         Experience with Spark using Scala or Python is a big plus

·         Experience in Cloud Technologies(primarily in AWS, Azure) and integration with on premise existing Data warehouse technologies. Have good knowledge on S3, Redshift, Blob Storage, Presto DB etc.

·         Attitude to learn and adopt emerging technologies.