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Senior ETL Developer - Informatica - 6+ Months - Princeton, NJ (3 days Onsite per week)
Salary undisclosed
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Hi ,
We are looking to hire suitable candidates for Senior ETL Developer - Informatica opportunity with one of our clients in Princeton, NJ.
Position Name: Senior ETL Developer - Informatica
Duration: 6+ Months
Location: Princeton, NJ (3 days Onsite per week)
In order to be successful:
- You should have a working knowledge of industry standard Data Infrastructure (e.g. Warehouse, BI, Analytics, Big-Data, etc.) tools with the goal of providing end users with analytics at the speed of thought.
- You should be proficient at developing, architecting, standardizing, and supporting technology platforms using Industry leading ETL solutions.
- You should thrive in building scalable and high throughput systems.
- You should have experience with agile BI & ETL practices to assist with the interim Data preparation for Data Discovery & self-service needs.
- You must have strong communication, presentation, problem-solving, and trouble-shooting skills.
- You should be highly motivated to drive innovations company-wide.
You ll need to Have:
- 5+ years of experience in designing and developing ETL pipelines leveraging Informatica PowerCenter/IDMC.
- Strong understanding of data warehousing methodologies, ETL processing and dimensional data modelling.
- Design, implement, test and maintain ETL components for multiple applications.
- Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus.
- Demonstrated experience and ability to work with business users to gather requirements and manage scope.
- Experience programming in a Linux/UNIX environment including shell scripting.
- Experience working in a big data environment with technologies such as Greenplum, Hadoop and HIVE.
- BA, BS, MS, PhD in Computer Science, Engineering, or related technology field.
We d love to see:
- Experience with large database and DW Implementation (20+ TBs).
- Understanding of VLDB performance aspects, such as table partitioning, sharding, table distribution and optimization techniques.
- Knowledge of reporting tools such as Qlik Sense, Tableau, Cognos.
Adarsh Shukla
Lead Recruiter
Avenues International Inc.
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