Years of experience: 4+ years

Skills: Azure, Azure SQL, Azure Synapse

Work type: Full-time

Mode of Work: Hybrid (3 days WFO)

Location: Chennai, Pune, Bangalore

Notice Period: Max 30 days

Must to have skills :

Azure with SQL (Azure SQL) combination is a must to have. SSIS SSRS with Azure o SQL with Azure is what you need to look at.

Qualifications:

1. Experience in ETL & Data Warehousing

1. Should have excellent leadership & communication skills

1. Should have strong working experience on Data Lakehouse architecture

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

1. Should have worked on data sources such as SAP and Salesforce

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

1. Should have built solution automations in any of the above ETL tools

1. Should have executed atleast 2 Azure Cloud Data Warehousing projects

1. Should have worked atleast 2 projects using Agile/SAFe methodology

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

1. 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

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

1. Should have cross global location experience and been part of a team with atleast 15+ members in a global delivery model

1. 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:

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

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

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

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

1. Design, Develop and Test ETL/Data pipelines

1. Design & build metadata-based frameworks needs for data pipelines

1. Write Unit Test cases, execute Unit Testing and document Unit Test results 1. Deploy ETL/Data pipelines

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

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

1. Do production support, enhancements and bug fixes

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

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

1. Maintain and improve already existing processes

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