Job Description: The Data Engineering Manager will focus on delivering the vision of the department through process, development, and lifecycle. They will work directly with stakeholders and team members to define, design and deliver actionable insights while working with ETL developers and BI developers in an agile environment. Primary Job Duties: Business Intelligence Architect 80% - Formulates and recommends standards for achieving maximum performance and efficiency of the DW ecosystem. - Participates in the planning for retirement of systems programs, and migration of systems infrastructure. - Develop business cases and ROI for the department to get buy-in from senior management. - Interview stakeholders and develop BI roadmap for success given project prioritization and budget. - Evangelize self-service BI and visual discovery while helping to change Excel based culture. - Work closely with DW manager to ensure prioritization of corporate and departmental objectives and projects. - Champion data quality, integrity and reliability throughout the department by designing and promoting best practices. Team Mentor 20% - Provide assistance to DW team members with issues needing technical expertise or complex systems and/or programming knowledge. Provide on-the-job training for new or less experienced team members. - Provide technical training to external team members to foster stronger cross-departmental relations. Required Skill Set: - 10+ years of experience delivering business intelligence solutions - 10+ years of experience with OLTP and OLAP database models - Good analytical and problem-solving skills - Fluent in relational database concepts and flat file processing concepts - Must be knowledgeable in software development lifecycles/methodologies i.e. agile - Has strong presentation and collaboration skills and can communicate all aspects of the job requirements, including the creation of formal documentation - Knowledge of E-commerce Industry - Bachelor's Degree in related field or equivalent experience Preferred Skill Set: - Database Technology: SQL Server, Netezza, Hadoop, Cloudera - ETL Technology: SSIS, DataStage, Talend, CRON scripting, Perl - BI Technology: Power BI, Tableau, Looker - Time series analysis, clustering, decision trees and neural networks - Master's Degree Computer Science or Statistics

Hyderabad

Saras Analytics - Manager - Data Engineering 

Saras Analytics - Manager - Data Engineering  ,Job Description for Saras Analytics - Manager - Data Engineering  in Saras Analytics in  Hyderabad for (5-10) years of experience. Apply Now!

Job Description for Saras Analytics - Manager - Data Engineering  in Saras Analytics in  Hyderabad for (5-10) years of experience. Apply Now!