mapping the targetsdata mappingdata transfergathering the data requirements
Work Authorization
US Citizen
Green Card
EAD (OPT/CPT/GC/H4)
H1B Work Permit
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
Contract to Hire
Employment Type
Consulting/Contract
education qualification
UG :- - Not Required
PG :- - Not Required
Other Information
No of position :- ( 1 )
Post :- 23rd May 2024
JOB DETAIL
Collaborate with stakeholders to understand their data requirements and translate them into ETL specifications
Design, develop, and maintain ETL processes to extract data from multiple sources, transform it to meet business needs, and load it into target systems
Perform data profiling, cleansing, and validation to ensure data accuracy, completeness, and consistency
Develop and maintain data models, data mappings, and documentation to support ETL processes and data lineage
Monitor ETL jobs and workflows, troubleshoot issues, and implement performance tuning strategies to optimize ETL performance
Work closely with data engineers, database administrators, and other stakeholders to ensure data quality and integrity throughout the ETL lifecycle
Provide support and training to business users on accessing and using data generated by ETL processes
Stay updated on industry trends, best practices, and emerging technologies related to ETL and data integration
Qualifications:
Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or related field
3+ years of experience in data analysis, ETL development, and data integration
Proficiency in ETL tools such as Informatica PowerCenter, IBM DataStage, Talend, or SSIS
Strong SQL skills for data querying, manipulation, and transformation
Experience with data modeling concepts and techniques, including dimensional modeling and star schema design
Familiarity with data warehousing concepts and architectures
Excellent analytical, problem-solving, and communication skills
Ability to work independently as well as collaboratively in a team environment
Experience with cloud-based ETL platforms such as AWS Glue, Azure Data Factory, or Google Cloud Dataflow is a plus