| Lead Azure Data Architect ------- Onsite ------- Raleigh, NC at Raleigh, North Carolina, USA |
| Email: [email protected] |
| From: Naveen, Softcom Systems Inc [email protected] Reply to: [email protected] Details : Client : Infosys Role: Azure Data Architect Location : Onsite, Raleigh, NC. Type : Contract Detailed Job Description Demonstrates thorough abilities and/or a proven record of success as a team leader by: Demonstrating minimum 5 years experience of leading data architecture and design implementations and discussions; Demonstrating minimum 3 years hand on experience building advanced Data warehousing solutions on leading cloud platforms; Demonstrating minimum 3 years hands on Experience of delivering Managed Data and Analytics programs (Managed services and Managed assets); Designing, implementation and maintaining data technology solutions that meet business requirements; Developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc.; Building efficient, ETL/ELT processes using industry leading tools like Informatica, Talend, Spark etc. Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools; Demonstrating experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc.; Understanding of data consumption patterns and BI tools like tableau, Qlik sense, PowerBI etc.; Demonstrating experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc.; Demonstrating communication, problem solving, quantitative and analytical abilities. Working with a managed services organization with a passion for building new service offerings in the Data and Analytics space and demonstrate proven experience in following key areas/activities; Designing, implementing, and maintaining data technology solutions that meet business requirements; Implementing Data processing functions like Data Cleansing, profiling, wrangling standardization and make data available to be ingested the Data ecosystem using advanced concepts like Data lakes, Data fabric, Data Vault, Data Mesh etc.; Driving large transformation initiatives like Cloud migration (Azure preferred) etc.; Working closely with cross functional teams to develop and maintain scalable, robust, and efficient data architectures to support business Intelligence, analytics, and reporting needs; Evaluating and selecting best fit tools and technologies by conducting PoCs and Pilot solutions; Conducting performance tuning, troubleshooting and optimization of Data solutions to improve system performance and stability; and, Providing guidance and mentorship to junior associates and engineers in the team. Responsibilities You will be responsible for building optimized data pipelines using emerging technologies, in a cloud environment, for the purpose of driving analytic insights. Work with the business and operations stakeholders to define and test new data products / reports / dashboards for key business users Create Product Backlog Items (PBIs) and work items in Azure DevOps Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of sources like API, Blob Storage, and no SQL Database Assist the Product Manager and Business Manager in designing the technical solution Guiding a team of Data Engineers Performance fine tuning of the existing data products Experience with data modeling tools like ERWIN or others Implementing Data processing functions like Data Cleansing, profiling, wrangling standardization and make data available to be ingested the Data ecosystem using advanced concepts like Data lakes, Data fabric, Data Vault, Data Mesh etc.; Driving large transformation initiatives like Cloud migration etc.; Working with cross functional teams to develop and maintain scalable, robust, and efficient data architectures to support business Intelligence, analytics, and reporting needs; Keywords: business intelligence North Carolina |
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| Thu Dec 07 21:09:00 UTC 2023 |