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Role Overview: Join our esteemed client, a Japanese multinational IT service and consulting company based in Tokyo, Japan, at their Hyderabad location as a Data Quality Engineer. Bring your expertise in Informatica Data Quality tool and SQL knowledge to the table to analyze data quality metrics, design and implement data cleansing routines, and automate data quality checks. Be a part of a dynamic and high-impact firm where innovation meets opportunity, and take your career to new heights. Key Responsibilities: - Utilize Informatica Data Quality (IDQ) for data profiling to identify anomalies and patterns - Analyze data quality metrics and generate reports - Design and implement data cleansing routines using IDQ - Proficient in SQL for querying databases - Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server - Standardize, validate, and enrich data - Create and manage data quality rules and workflows in IDQ - Automate data quality checks and validations - Integrate IDQ with other data management tools and platforms - Manage data flows and ensure data consistency - Utilize data manipulation libraries like Pandas and NumPy - Use PySpark for big data processing and analytics - Write complex SQL queries for data extraction and transformation Qualifications Required: - 8+ years of experience in Informatica Data Quality tool - Strong knowledge and proficiency in using Informatica Data Quality (IDQ) - Proficiency in SQL for querying databases - Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server - Skills in standardizing, validating, and enriching data - Ability to create and manage data quality rules and workflows in IDQ - Experience in automating data quality checks and validations - Knowledge of integrating IDQ with other data management tools and platforms - Skills in managing data flows and ensuring data consistency - Experience with data manipulation libraries like Pandas and NumPy - Expertise in using PySpark for big data processing and analytics - Strong SQL skills for querying and managing relational databases Please share your updated resume along with the following details: - Total Experience: - Relevant Experience in Informatica Data quality tool: - Current Location: - Current CTC: - Expected CTC: - Notice Period: Join us on this incredible journey and be a part of our innovative team. Your profile will be handled with strict confidentiality. Apply now and take your career to new heights! Thank you, Syed Mohammad Role Overview: Join our esteemed client, a Japanese multinational IT service and consulting company based in Tokyo, Japan, at their Hyderabad location as a Data Quality Engineer. Bring your expertise in Informatica Data Quality tool and SQL knowledge to the table to analyze data quality metrics, design and implement data cleansing routines, and automate data quality checks. Be a part of a dynamic and high-impact firm where innovation meets opportunity, and take your career to new heights. Key Responsibilities: - Utilize Informatica Data Quality (IDQ) for data profiling to identify anomalies and patterns - Analyze data quality metrics and generate reports - Design and implement data cleansing routines using IDQ - Proficient in SQL for querying databases - Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server - Standardize, validate, and enrich data - Create and manage data quality rules and workflows in IDQ - Automate data quality checks and validations - Integrate IDQ with other data management tools and platforms - Manage data flows and ensure data consistency - Utilize data manipulation libraries like Pandas and NumPy - Use PySpark for big data processing and analytics - Write complex SQL queries for data extraction and transformation Qualifications Required: - 8+ years of experience in Informatica Data Quality tool - Strong knowledge and proficiency in using Informatica Data Quality (IDQ) - Proficiency in SQL for querying databases - Experience with database systems like Lakehouse, PostgreSQL, Teradata, SQL Server - Skills in standardizing, validating, and enriching data - Ability to create and manage data quality rules and workflows in IDQ - Experience in automating data quality checks and validations - Knowledge of integrating IDQ with other data management tools and platforms - Skills in managing data flows and ensuring data consistency - Experience with data manipulation libraries like Pandas and NumPy - Expertise in using PySpark for big data processing and analytics - Strong SQL skills for querying and managing relational databases Please share your updated resume along with the following details: - Total Experience: - Relevant Experience in Informatica Data quality tool: - Current Location: - Current CTC: - Expected CTC: - Notice Period: Join us on this incredible journey and be a part of our innovative team. Your profile will be handled with strict confidentiality. Apply now and take your
