7 of 7 PowerCenter Jobs in England

Catalog Views). Strong experience in Snowflake architecture, including data loading, transformation, and performance tuning. Proficient in ETL processes using tools such as Informatica PowerCenter and BDM, AutoSys, Airflow, and SQL Server Agent. Experience with cloud platforms preferably AWS. Strong knowledge of AWS cloud services, including EMR, RDS Postgres More ❯

and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. 5 to More ❯

architecture, implementation, and optimisation of data pipelines and analytics infrastructure. Key Responsibilities: Provide hands-on technical leadership using Informatica Intelligent Cloud Services (IDMC) and PowerCenter across integration and data quality initiatives. Design and implement scalable data pipelines and applications to process high volumes of structured and semi-structured data. More ❯

Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, Redshift and Postgrace etc.). Design and implement complex data transformation logic using Informatica PowerCenter transformations Develop, test, and implement ETL workflows and mappings using Informatica PowerCenter. Perform data extraction, transformation, and loading (ETL) processes from various source systems … into the target data warehouse. Required Skills and Qualifications: Strong experience with Informatica PowerCenter (ETL tool) including designing and developing mappings, workflows, and sessions. Solid understanding of data modeling concepts and data warehousing. Practical experience on performance tuning techniques for ETL jobs. Excellent problem-solving skills and ability to More ❯

Proficiency in SQL and relational databases (e.g., Oracle, SQL Server, Redshift and Postgrace etc.). Design and implement complex data transformation logic using Informatica PowerCenter transformations Develop, test, and implement ETL workflows and mappings using Informatica PowerCenter. Perform data extraction, transformation, and loading (ETL) processes from various source systems … into the target data warehouse. . Required Skills and Qualifications: Strong experience with Informatica PowerCenter (ETL tool) including designing and developing mappings, workflows, and sessions. Solid understanding of data modeling concepts and data warehousing. Practical experience on performance tuning techniques for ETL jobs. Excellent problem-solving skills and ability More ❯

design and implement modern data solutions using cutting-edge cloud and ETL technologies. Key Responsibilities: - Develop and support ETL pipelines using Informatica IDMC and PowerCenter - Implement cloud-based data architectures (IaaS, PaaS, SaaS) - Build integrations using REST/SOAP APIs - Conduct data analysis, profiling, and performance tuning - Apply data … ETL processes and collaborate with technical/business teams - Support infrastructure planning and security design Skills & Experience: - Strong hands-on experience with Informatica IDMC & PowerCenter - Solid SQL, RDBMS, DWH, and BI knowledge - Cloud experience (AWS preferred); Spark knowledge a plus - Familiarity with data lakes, modelling, and integration - Excellent data More ❯

design and implement modern data solutions using cutting-edge cloud and ETL technologies. Key Responsibilities: - Develop and support ETL pipelines using Informatica IDMC and PowerCenter - Implement cloud-based data architectures (IaaS, PaaS, SaaS) - Build integrations using REST/SOAP APIs - Conduct data analysis, profiling, and performance tuning - Apply data … ETL processes and collaborate with technical/business teams - Support infrastructure planning and security design Skills & Experience: - Strong hands-on experience with Informatica IDMC & PowerCenter - Solid SQL, RDBMS, DWH, and BI knowledge - Cloud experience (AWS preferred); Spark knowledge a plus - Familiarity with data lakes, modelling, and integration - Excellent data More ❯