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Experience with CLS /ACBS - Commercial Lending System data analysis for integration. Knowledge in Informatica, Teradata, and JIRA. We have an immediate need for a Data Analyst III for a contract to hire opportunity for a client of ours headquarted in San Antonio, TX. We are looking for someone that has experiece supporting Commercial Lending migrations and or systems.
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Data Integration: Design, develop, and maintain complex data integration workflows using Informatica PowerCenter to extract, transform, and load data from diverse sources into target systems.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Tech stack: BigQuery , any ETL tool (Informatica, Talend, DataStage), Dataflow, Dataproc.
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Google Cloud Big Query, Snowflake Datawarehousing , Exposure to DW tools like Informatica, Teradata, Business Objects and Power BI. Must have experience of working on Transactional systems, ODS, BI/Data Warehouse/Marts, ETL/Data Integration & Analytics, Big Data solutions and Client Solutions and map them to equivalent/better GCP Products.
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1-2 years of working experience in converting ETL jobs( in Informatica/Talend,/DataStage) into Dataflow or Dataproc and migrated in CI\CD pipeline. Immediate need for a talented Google Cloud Platform Data Engineer.
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In this role you will lead and contribute to the development and maintenance of data integration processes using Informatica PowerCenter. Data Quality: Implement data quality checks, validation rules, and error handling mechanisms to maintain data integrity throughout the integration process.
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The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica Powercenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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GCP Data Engineer. Knowledge of data Modelling, database design, and the data warehousing ecosystem. 3-5 years' Experience in Data warehouse and Data lake implementation.
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Experienced knowledge in data analysis using SQL, user story development, data warehouse design and modeling (3rd normal form or dimensional modeling), data integration design and development and/or performance tuning Teradata SQL. Knowledgeable in data warehouse market best practices, development standards and methodologies.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Knowledge and exposures to Azure SQL DataWarehouse, Databricks or other cloud or on premises MPP data warehousing systems (MS APS, Teradata, Snowflake) Ensures integration of the project logical data model into the enterprise conceptual data model.
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1-2 years of experience in Google Cloud Platform (especially Big Query). Proficiency in Linux/Unix shell scripting and SQL. Ability to troubleshoot and solve complex technical problems. Excellent analytical and problem-solving skills.
ExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Data Science, Statistics, Mathematics, Economics, in a related field, or equivalent experience. Extensive experience with standard and advanced data analysis techniques such as regression, trend lines, forecasting, modeling, clustering, Hypothesis Testing, Content Analysis and Narrative Analysis.
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12+ years of IT experience in the Analysis, Design, Development of Data warehouse (DWH), Data Integration, Data migration and Business intelligence Projects using Informatica Power Center, IICS, Snowflake, Oracle, MSSQL Server, Teradata, Tableau, Unix Shell scripting, Power shell scripting, Snowsql, Python, Pyspark, Azure, Azure Devops, AWS etc.
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We are seeking a skilled and experienced Data Engineer to lead the design and implementation of a ground breaking data integration platform using Python, Google Cloud Platform (GCP) and Snowflake.
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6+ months Data Engineering / Data Integration experience. 6+ months ETL (i.e. Informatica/DataStage) experience. As the Associate Data Engineer, you will be responsible for application development for the Pharmacy Benefits Management Enterprise Data Warehouse team.
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