ETL Developer

Skills - ETL
Experience - 2 to 4 Years
Role - Permanent
Openings : 5
Location : Chennai

Job responsibility

•             Develop and maintain in-depth knowledge of the business, processes, applications, information and data, leverage this knowledge enabling the process to script the projects of varying complexity   

•             Ensure standard design model is embedded in all project scripting for effectiveness and efficiency   

•             Work on issues of diverse scope and complexity where analysis of data requires good judgment in selecting methods and techniques for obtaining solutions.  

•             Produce simplified and value-adding solutions to continuously drive operational excellence and deliver business value.   

•             Explore and study best practices across processes for potential replication            

•             Support implementation, documentation of key initiatives, process improvements, Standard operating procedures, tools and methods that are repeatable, sustainable and ensuring process compliance.           

•             Maximize standardization opportunity, Identify value leakage and build improvement pipeline that impact and support Data QA priorities.


•             Bachelor's degree in computer science, information technology or another computer-based discipline with work experience in ETL Tools at least for min 2 years.

•             Evidence of strong quantitative knowledge and attention to detail.

-Experienced with reporting, SQL query development, SAP modules, Data Quality Measurement tools Information Steward is very desirable.

- Excellent analytical, interpersonal and communication skills, able to resist undue influence that might otherwise compromise integrity of data quality.

- Ability to multi-task, prioritize and ensure delivery of priorities, work without close supervision, work through others to deliver results.

- Virtual working experience highly desirable.

- Exposes the individual to all cultural backgrounds and organizational levels, across diverse time zones.

- A meticulous, quantitative specialist who is able to identify, address and resolve data quality-related business issues proactively, and possesses rigorous attention to detail



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