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Strong background in data modeling, ETL/ELT workloads, and enterprise data architecture on platforms like Azure Databricks. Architect, develop, and document scalable data architecture patterns, ETL frameworks, and governance policies, adhering to Databricks' best practices to support future and unknown use cases with minimal rework.
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Must have skills : Snowflake, DBT, ETL Informatica, PL/SQL, Informatica Powercentre ,Python. Job Title: Informatica ETL Developer with Snowflake. Experience with ETL Tools (Informatica, DataStage, Data Build Tool, etc.
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Concepts of Data Engineering – Data warehousing, Indexing, ETL, Dimensions and Schemas. Experience working with one or more of Hadoop, Teradata, Oracle, Microsoft SQL DBs and beginner/intermediate knowledge of AWS cloud solutions (S3, RDS, Athena, Aurora.
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In depth knowledge of multiple operating systems and technologies including, but not limited to, Windows Server, *nix server, process automation and scripting, and common ETL data manipulation processes.
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Experience with Extract/Transform/Load (ETL) or Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Informatica, Kafka, Spark, MuleSoft, or equivalent software.
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The candidate will leverage ETL tools to automate existing processes and drive operational excellence initiatives. Responsibilities:The Analytics and Model Development team relies on a variety of systems / platforms including, but not limited to, Excel, SQL, Tableau, Alteryx, PowerBI, and SAS. The candidate will work across both Analytics and Data Management spectrums to source resource planning and call performance data / metrics and compile into Executive level dashboards on a project or ad hoc basis.
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Technical Analyst Skills encompass hands-on experience in utilizing a range of technologies, including but not limited to: Web applications: HTML, Java, JavaScript, Vue, Angular, Python, PHP, Ruby, C, C# Google Analytics and SEO Data management (database, ETL, Query, File): SQL, SSIS, SSRS, JSON, XML Hardware knowledge: PC, Raspberry Pi Familiarity with security tools for analyzing and mitigating cyber-attacks and other security threats across software, hardware, and networks.
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Knowledge of various technology support tools (e.g. Jira, remote desktop tools, etc.) Troubleshooting to identify, analyze and resolved software, hardware, operating system, network, data integration issues.
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Must have strong ETL experience Must have AWS Talend and Glue experience Strong Python experience Informatica experience to support the on-prem database for time being. Strong hands-on experience in native AWS Glue ETL engineering, operationalization, automation build out, integration with other native AWS services and CICD using Python, Perl, and AWS APIs.
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Hands-on experience with Talend/Informatica/IICS integration tool and other ETL tools (At least 6 years) Developing ETL logic utilizing Talend/Informatica workflows, scripting and load utilities.
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Expertise with ETL using SQL and associated tools, such as Alteryx and Elastic MapReduce Expertise with BI tools, such as SAP Business Objects, Tableau and AWS QuickSight. chief information officer, chief technology officer, css, database, f#, microsoft, oracle, sql, unix.
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Strong experience with building and managing scalable and robust ETL pipelines using tools such as AirFlow and DBT. Strong experience with building and managing scalable and robust ETL pipelines using tools such as AirFlow and DBT.
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Should have strong experience designing and architecting ETL processes and have hands-on experience leading data extraction, data cleansing, data mapping, data transformation, data loading, and data validation using tools like Oracle, Informatica.
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Experience in Data Migration Projects using ETL tools (preferably Informatica) - with ability to support analysis of AS-IS and TO- BE data flow and data mapping activity. Experience in banking domain in areas like (Credit Risk part, Asset classes, Derivates, put and call, Margins, Prime brokerage, CUSIP’s, Derivatives.
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Technologies: Databricks, ETL, Azure Cloud, API, SSIS, Talend, PySpark. Technologies: Databricks, ETL, Azure Cloud, API, SSIS, Talend, PySpark. Power Platform, Power Apps, Power BI, Azure. Ensure that proposed solutions align with business continuity and disaster recovery plans.
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