Hi
Requirement with Accenture
Bangalore Location
Data Warehouse engineer: (2 Open Position)
1. Hadoop developer who has 7 to 8 years of experience in development
area and having JAVA, ETL and basic DB background knowledge to play key role
2. Candidate from ETL background; Hands on scripting in Hadoop and Hive
Should has 5-6 years of experience in Hadoop and Hive
Below is the detailed JD for Data warehousing demand:
Analyze & translate functional specifications & change requests into technical specifications.
Design, Develop, Implement ETL framework for Enterprise DW system.
Executing unit tests and validating expected results; iterating until test conditions have passed Translate business needs into end user applications.
Ensure accuracy & integrity of data & applications through analysis, coding, writing clear documentation & problem resolution.
Troubleshoot and remediate issues impacting processes in ETL framework.
Modifying existing code to provide defect fixes for existing ETLs.
Coordinate and Collaborate with ETL team and business users to implement all ETL procedures for all new projects and maintain effective awareness of all production activities according to required standards and provide support to all existing applications.
Provide support to all ETL schedule and maintain compliance to same and develop and maintain various standards to perform ETL codes and maintain an effective project life cycle on all ETL processes.
Keep abreast of the tools, techniques and components being used in the industry through research and applies this knowledge to the system(s) being developed.
Requirements
Hands-on experience with all aspects of designing, developing, testing and implementing ETL solutions
Packaging and release management.
Working knowledge with MPP systems
Knowledge of data modeling and designing databases
Ability to work in a fast paced environment on several projects
Solid understanding of SDLC, software best practices and development methodologies
Strong analytical and diagnostic skills
Good knowledge of metadata, and using/managing metadata
Ability to develop and organize high-quality documentation
Take responsibility for performance tuning
Experience with data warehousing and star-schema (dimensional) data models a plus.
Working knowledge on Linux/Unix Operating systems
Hands on experience in Database technologies like Oracle, Mysql , Teradata or likes.
Strong scripting skills - python ( a big plus ), Perl , shell etc.
Knowledge of Big data systems - Hadoop , pig, hive, shark/spark etc. a big plus.
Excellent verbal and written communication skills
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