Enterprise Data Warehouse

Job Description

Role: Enterprise Data Warehouse

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