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You will be updated with latest job alerts via emailThe desired candidate will design develop test maintain and support complex data extract transformation and load (ETL) programs for an Enterprise Data Warehouse. Understanding how complex data should be transformed from the source and loaded into the data warehouse is critical to this job.
Expertise and solid experience in BI Tools Power BI and BigQuery
Strong IDMC(Informatica) technical knowledge in the design development and management of complex Informatica mappings sessions and workflows
Strong programming skills relational database skills with expertise in Advanced SQL and PL/SQL indexing and query tuning
Experienced in Business Intelligence and Data warehousing concepts and methodologies.
Extensive experience in data and root cause analysis and proven problemsolving and analytical thinking capabilities.
Analytical capabilities to slice and dice data and display data in reports for the best user experience.
Demonstrated ability to review and translate business processes into BI reporting and analysis solutions.
Ability to follow the Software Development Lifecycle (SDLC) process and should be able to work under any project management methodologies used.
Ability to follow best practices and standards.
Ability to identify and tune BI application performance bottlenecks.
Ability to work quickly and accurately under pressure and project time constraints
Abilityto prioritize workload and work with minimal supervision
Basic understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems Version Control and Office software
Exposure Data Modeling using Star/Snowflake Schema Design Data Marts Relational and Dimensional Data Modeling Slowly Changing Dimensions Fact and Dimensional tables Physical and Logical data modeling
Required Qualifications:
Preferred Qualifications:
Soft Skills:
Strong written and oral communication skills in the English Language
Ability to work with Businesses and communicate technical solutions to solve business problems
The desired candidate will design develop test maintain and support complex data extract transformation and load (ETL) programs for an Enterprise Data Warehouse. Understanding how complex data should be transformed from the source and loaded into the data warehouse is critical to this job.
Expertise and solid experience in BI Tools Power BI and BigQuery
Strong IDMC(Informatica) technical knowledge in the design development and management of complex Informatica mappings sessions and workflows
Strong programming skills relational database skills with expertise in Advanced SQL and PL/SQL indexing and query tuning
Experienced in Business Intelligence and Data warehousing concepts and methodologies.
Extensive experience in data and root cause analysis and proven problemsolving and analytical thinking capabilities.
Analytical capabilities to slice and dice data and display data in reports for the best user experience.
Demonstrated ability to review and translate business processes into BI reporting and analysis solutions.
Ability to follow the Software Development Lifecycle (SDLC) process and should be able to work under any project management methodologies used.
Ability to follow best practices and standards.
Ability to identify and tune BI application performance bottlenecks.
Ability to work quickly and accurately under pressure and project time constraints
Abilityto prioritize workload and work with minimal supervision
Basic understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems Version Control and Office software
Exposure Data Modeling using Star/Snowflake Schema Design Data Marts Relational and Dimensional Data Modeling Slowly Changing Dimensions Fact and Dimensional tables Physical and Logical data modeling
Required Qualifications:
Preferred Qualifications:
Soft Skills:
Strong written and oral communication skills in the English Language
Ability to work with Businesses and communicate technical solutions to solve business problems
Full Time