ETL & Data Warehousing Lead

Title: ETL & Data Warehousing – Lead

Location: Dallas

Duration: 12 month

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 at least 2 Azure Cloud Data Warehousing projects
• Should have worked at least 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 at least 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