398 Cleansing Jobs - Page 12

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical

Primary skills o Understanding of data architecture and normalization: Strong skills o Use Informatica Data Quality to profile the project source data, define or confirm the definition of the metadata, cleanse and validate the project data, check for duplicate or redundant records, and provide data consuming parties with concrete proposals on how to proceed with solution development. o Informatica Data Quality (IDQ): Strong skills o Informatica Power Centre: Moderate skills o Oracle SQL and PL/SQL: Strong skills Secondary skills o Documentation skills: Strong skills o Knowledge of Agile framework and JIRA: Moderate skills o Knowledge on SAS will be an added advantage Responsibilities: Profile source data and determine all source data and metadata characteristics. Design and execute a Data Quality Audit/Assessment Design and execute the data quality mappings that will cleanse, de-duplicate, and otherwise prepare the project data Implement data quality processes including transliteration, parsing, analysis, standardization and enrichment at point of entry and batch modes; Deploy mappings that will run in a scheduled, batch, or real-time environment. Collaborate with various business and technical teams to gather requirements around data quality rules and propose the optimization of these rules if applicable, then design and develop these rules with IDQ Good at writing SQL queries and verifying the results Additional Information Shift: 2pm 11pm (Will be working with UK client) Requirement: Minimum 10 yrs of overall IT experience including a minimum 5 years of hands-on experience with Informatica Data Quality (IDQ) toolset (Version 10.x preferred) and proficiency in IDQ development around data profiling, cleansing, parsing, standardization, verification, matching and data quality exception monitoring and handling Excellent data analysis and data profiling skills using Informatica and Excel Good understanding of data governance principals and strong experience on data quality development and issue management and remediation Good communication and presentations skills and ability to lead meetings effectively Ability to multi-task with strong attention to detail and analytical