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Design and implement scalable and reliable data pipelines within AWS cloud environments, leveraging technologies such as Snowflake, SQL Server, Oracle, Python, Apache Airflow, SSIS, DataStage, or Informatica.
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Bachelor's degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) designing, implementing, and developing applications in Sybase, SQL server, Oracle, Informatica, Python and Azure.
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Proficient in managing and optimizing Snowflake, SQL Server, and Oracle databases. : Administer, maintain, and optimize SQL Server or Oracle databases to ensure high performance, availability, and security.
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Any database development experience with Oracle, SQL Server, PostgreSQL, etc. Hands-on experience with backend ETL for data extraction & building data model, including scripting and data source integration.
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Experience with any of the following technologies is a plus: Snowflake, Power BI, Microsoft SQL Server, Python, Power Shell, R/R Studio Workbench Server, Amazon AWS (EC2 instances, Redshift, lambda functions, S3, etc.
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Strong skills in languages such as Python, R, SQL or Scala, alongside experience of using modern and traditional data technologies including: ElasticSearch, MongoDB, PostgreSQL, mySQL/mariaDB, Oracle, SQL Server, Hadoop, Kafka, Splunk/ELK or other logging and monitoring tools, BI and Data Warehousing solutions and ETL and migration technologies.
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Tools and Technologies: Tricentis Tosca (13.2- 14.2), Bugzilla, JIRA, HPALM/QC, qTest, Azure DevOps, Oracle RDBMS, MS SQL Server, Teradata, TaskTop,OICS, EIB, MuleSoft, PL SQL, C#, TQL, FBDIs, Power BI, WSDL, REST, SOAP, DATALoader, DEX, TDM Servers.
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You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.
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Experience with Data Warehouse and ETL solutions such as SQL Server, Snowflake, Azure, Databricks, Informatica, or similar. Knowledge of Data Science & programming such as Python, R, SQL, SAS, Java.
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Must have: Proficient in SQL and database technologies (e.g., Oracle, SQL Server, PostgreSQL) with hands-on experience in ETL processes and data integration tools. Must have: Ability to leverage Collibra lineage Harvester to harvest and re-harvest mapping & transformation logic from source code (DML/DDL scripts, SQL and ETL scripts.
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7+ years of hands-on Microsoft Power BI, Azure Synapse, and Data Factory, Data Warehouse, ETL, SQL Server, Informatica and BI development. Ability to write SQL queries, PL/SQL, and experience with Oracle and Microsoft SQL Server databases.
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The SQL Server DBA and Business Intelligence Specialist is an integral member of the IT organization responsible for maintaining the database and reporting systems, as well as creating data driven reporting and ETL procedures.
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Experience using Microsoft Excel, Google Workspace, and third-party reporting tools such as Crystal Reports, Business Objects, or Cognos, and/or ETL tools such as Microsoft SSIS or BizTalk, and/or relational database management systems such as Oracle, Microsoft SQL Server or MySQL.
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ETL tools Teradata, MS SQL Server, Data Transformation Services (DTS) Export/Import, SQL Server Integration Service (SSIS), ADF, DataStage, Azure Synapse. Reporting tools SQL Server Reporting Services (SSRS), Power BI Additional Databases: Azure SQL Database, SQL Server Analysis Service (SSAS), EDW, EDL DevOps, Azure Blob, Azure Data Lake, Synapse, AWS, S3, GCP, Azure Functions.
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Experience in Database operations PL/SQL & SQL Plus background, SQL Server and ETL processes, Experience with containerization technology such as Docker and related management systems such as Kubernetes, OpenShift will be a plus Cloud Infrastructure knowledge/Cloud security knowledge/ Data engineering skills/DevOps expertise/Linux expertise/terraform, Cloud Formation, compute, ecs, ecr, eks, RDS, compute, server migration service, data migration service.
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