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Work closely with data engineers and other team members to design and implement ETL processes for data integration from various sources such as Teradata, Oracle, SQL Server, Ab Initio, and SSIS.
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The ideal candidate will have extensive expertise in setting up and optimizing DAAS solutions using a variety of tools and platforms, including MySQL, PostgreSQL, SQL Server, and Snowflake on AWS and Azure.
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Must also have 5 years of experience (which can have been gained concurrently with the other experience requirements) working with Informatica Power Center, SQL Server, SQL and PLSQL, Dimensional and Data Vault Modeling, ETL design, Python and Unix Scripting; and 2 years of experience (which can have been gained concurrently with the other experience requirements) working with AWS services including S3, data pipeline, AWS Glue, AWS Lambda, EMR and Athena.
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Roles and Responsibilities: Design and implement data architectures for DAAS solutions, with a primary focus on Snowflake as the central data platform, while also leveraging MySQL, PostgreSQL, SQL Server, and other technologies on AWS and Azure platforms.
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DW ETL Developer having experience in ETL ,Data warehouse development and experience in SSIS (SQL Server Integration Services) ,Banking Domain and Agile knowledge preferred.
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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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Experience leveraging technologies such as Snowflake, Azure Data Factory, ADLS Gen 2, Logic Apps, Azure Functions, Databricks, Apache Spark, Scala, Synapse, SQL Server. Construct and maintain of enterprise level integrations using the Snowflake platform, Azure Synapse, Azure SQL and SQL Server.
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Working experience with any or all the following is a plus:o AWS Services (such as S3, Workspaces, Lambda, DMS, Glue, and Athena)o Columnar and relational databases (like Redshift, SQL Server, or Aurora)o Programming Languages (like Python, R, or VB) o Data visualization and reporting tools (like Tableau) o ETL tools (like SSIS, or Informatica.
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Demonstrated technical competence with the latest technologies (Azure, Power BI, SQL Server, SSIS, SSRS, SSAS, Azure/AWS Cloud, Devops (ADO), Snowflake, Mobility & Security) Certificates, Licenses, and Registrations: Vendor certification (Azure Data Engineering, PowerBI certifications, Snowflake Certifications.
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Requires 3+ years of experience with AWS, Splunk, Service Now, Oracle, SQL, Sybase, PL/SQL, SQL Server, IBM MQ, ETL/Informatica, Autosys, WebSphere, New Relic, Sterling file gateway (SFG) and Python Script.
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Effective use of Microsoft ETL and data transformation technologies including but not limited to SQL Server database, SSIS SSRS and SSAS. The most successful person in this role will have hands on knowledge with one or more integration tools like Talend, or SSIS, or with interface technologies such as HL7, FHIR, and APIs. Additionally, hands on experience with MS SQL Server, MySQL or Oracle will also be needed to be successful in this role.
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Experience with complex SQL Server PL/SQL, Stored Procedures, ETL framework and concepts, Datawarehousing concepts, Cloud concepts, Microsoft SSIS, SSRS, IBM Datastage, database programming, Azure Data factory, Azure Devops, Azure SQL, SQL performance tuning, data modeling, ETL job scheduling, execution of datawarehousing projects.
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Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift.
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Proficiency in database management systems, including relational databases (e.g., Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) Hands-on experience with data integration tools and technologies (e.g., ETL/ELT, APIs, messaging queues, Informatica, Talend, AWS Glue, AWS Step Functions, Fivetran, and Apache Airflow.
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Having good experience in PL/SQL programming using oracle and created complex SQL queries, DB Views as part of ETL development, also worked on Oracle Golden Gate replication. Strong Knowledge on BI/DWH Concepts and SQL using variety of databases such as Oracle, SQL server, Sybase etc.
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