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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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3+ years of experience leading in the Data Engineering, Data Management, SQL Server, Teradata, Hadoop, Oracle, SSIS ETL, SAS, Tableau. 3+ years of experience leading in the Data Engineering, Data Management, SQL Server, Teradata, Hadoop, Oracle, SSIS ETL, SAS, Tableau.
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Cloud implementation experience with AWS including: AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Kinesis (or) MSK, Airflow (or) Lambda + Step Functions + Event BridgeData De/Serialization: Expertise in at least 2 of the formats: Parquet, Iceberg, AVRO, JSON-LDAWS Data Security: Good Understanding of security concepts such as: Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager.
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Experience and detailed knowledge with ETL, Data Quality, metadata management, Data Engineering, streaming data loads. Infosys is seeking an Azure Databricks Cloud Data Architect. Hands on experience in architecting Cloud data solutions using Azure Synapse, Databricks, Python, PySpark, SQL.
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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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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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As a data engineer, candidate will be expected to help the team craft data solutions to meet business and enterprise requirements using PySpark, Python, Oracle Exadata, and emerging data technologies to help orchestrate a metadata driven data pipeline implementing ETL Automation.
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Experience in ETL testing. Experience in Tosca Test Automation tool. Experience in ETL testing. As a Senior Software Development Engineer in Test (SDET) specializing in Selenium at our financial services client, you will play a crucial role in ensuring the quality and reliability of our software products.
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Minimum eight years' experience in: Databricks, ETL, Azure Cloud, API, SSIS, Talend, PySpark. Minimum eight years' experience in: Databricks, ETL, Azure Cloud, API, SSIS, Talend, PySpark. We are currently seeking a Enterprise Architect - Data to join our team in Addison, Texas (US-TX), United States (US.
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Must Have Skills/Attributes: Banking/Financial, Data Migration, Database, ETL, ITIL, Snowflake, SQL Server, SSAS, SSIS, Stored Procedures, T-SQL. Design, build, and maintain extract-transformation-load (ETL) processes.
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Analyze, develop, refactor, fix, test, review and deploy functionality, and bug fixes in ETL that moves data between Snowflake data layers. Use and improve ETL frameworks, continuous data quality frameworks and other automation in data pipeline.
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Good to Have: Abinitio, JavaSpark, ETL & DPL, Data Migration, Hadoop, Public cloud adoption, API development knowledge. Advanced experience in ETL and data wrangling using language Java is a plus.
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Leading the architecture efforts & implementation of data platform on Snowflake, including data modeling, ETL/ELT processes, and data integration / dissemination / Data Sharing. SQL and Python experience with ETL/ELT tools and techniques.
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