Discipline : Information Technology
Industry : IT Data Warehousing/Analytics
Job Description :
- An Engineering manager in ODM organization is expected to be proficient in designing, development and maintenance of Data Warehouses, Data Marts, BI and analytical solutions.
- Engineering manager would constantly evaluate new ETL, BI and Analytics tools/methodologies for possible adoption. Has thorough understanding of the data mining and analytics processes that could be leveraged while building Data Warehouses and marts.
General Job Profile :
- Strategic focus and create plan to increase business value and assume responsibility of end to end execution
- Reviews the design for big projects and provide meaningful feedback to team
- Develops innovative approaches
- Sought out as expert
- Serves as a leader/ mentor
- Engage employees well and work on growth path by coaching individuals
Job Scope and Guidelines :
- Anticipates customer needs and proactively develops solutions to meet them.
- Serves as a key resource on complex and/or critical issues.
- Solves complex problems and develops innovative solutions.
- Performs complex conceptual analyses.
- Reviews work performed by others and provides recommendations for improvement.- Forecasts and plans resource requirements.
- Authorizes deviations from standards.- May lead functional or segment teams or projects.
- Provides explanations and information to others on the most complex issues.
- Motivates and inspires other team members.
- Expert knowledge in data management and ETL concepts, IBM Infosphere will be preferred
- Knowledge of RDBMS like Teradata and Netezza including load and unload utilities
- Deep understanding of UNIX environment and how to integrate various ETLs and DBMS components using unix shell scripts
No. of Openings : 1
Qualification/Job requirements :
- B.Tech/M.Tech/MCA/M.Sc (full time education) with 10 - 13 years of relevant experience
- Deep understanding of SAS architecture.
- Good understanding on SAS grid architecture.
- Unix commands and shell script.
- SAS modelling
- Good Understanding on BigData
- Deep knowledge on ETL concepts and datastage
- DWH Design and architecture- DBMS architecture and load and unload utilities
- Data Analysis using SQL and ability to identify patterns through data
- Excellent communication and interpersonal skills
- Good problem solving skills- Working with partners to execute tactical and strategic goals for the pillar and larger organization
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