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Enterprise Data Wearhouse at Enterprise, Utah, USA
Email: [email protected]
Role: Enterprise Data Wearhouse  

Location: Dallas, Texas and 2-3 days in office is a MUST

Duration: 12+ Months

Onshore - Support Lead:

Retail Domain experience is a big plus.

Qualifications:

15+ years of experience in ETL & Data Warehousing

Should have excellent leadership & communication skills

Should have in depth knowledge on SSIS ETL Tool and good working knowledge on Power BI

Should have worked on data sources such as SAP and Salesforce

Should have very good knowledge of SSIS (ETL Tool), Azure Cloud, ADF, Azure Synapse Analytics & Azure Hub Events

Should have executed 
atleast 2 Azure Cloud Data Warehousing projects

Should have worked 
atleast 4 projects using Agile/SAFe methodology

Should have demonstrated working knowledge on 
ITIL V4 concepts such as Incident Management, Problem Management, Change Management & Knowledge Management

Should have working experience on any DevOps tools like GitHub, Jenkins, etc & on semi-structured data formats like JSON, Parquet and/or XML files & written complex SQL queries for data analysis and extraction

Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Data Quality & Data Mapping

Should have cross global location experience and led a team of atleast 15+ members in a global delivery model

Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team on a daily basis to analyze requirements, design, development and deployment technical solutions

Responsibilities:

Lead nearshore and offshore team to do production support of existing EDW, design, build & deploy enhancements and bug fixes to existing EDW

Support the existing 
EDW system built using ADF, Azure SQL, Microsoft SSIS & Power BI

Be on call to support job incidents on rotational basis

Work with business and technology stakeholders to communicate EDW incidents/problems and manage their expectations

Leverage 
ITIL concepts to circumvent incidents, manage problems and document knowledge

Analyze the different source systems, profile data, understand, document & fix Data Quality issues

Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end users

Write complex SQLs to extract & format source data for ETL/data pipeline

Create design documents, Source to Target Mapping documents and any supporting documents needed for deployment/migration

Design, Develop and Test ETL/Data pipelines

Write Unit Test cases, execute Unit Testing and document Unit Test results

Deploy ETL/Data pipelines

Use DevOps tools to version, push/pull code and deploy across environments

Support team during troubleshooting & debugging defects & bug fixes, business requests, environment migrations & other adhoc requests

Maintain and improve already existing processes

Ensure that the data pipelines are stable, secure, maintainable and highly available

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Thanks & Regards,

Rohit

Technical Recruiter

[email protected]

www.insourcetechsolutions.com

Marion rd, Westport, CT 06880,

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Keywords: business intelligence information technology Connecticut
[email protected]
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Wed Dec 20 22:17:00 UTC 2023

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