Azure DE leadArchitect
Azure DE leadArchitect
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1 Vacancy
Job Description
Role: Azure Data Engineer lead/Architect
Duration: 612 months Contract
Location: Orange CT (Onsite from Day 1)
Job Description:
Job Description:
We deal on a daily basis in Azure Synapse and use data modeling to solve complex business problems. as this role requires Synapse and Spark technical expertise along with a solution design background. strong technical knowledge in PowerBI and other visualization tools showcasing expertise in leading teams effectively
Job Description Data Analytics Lead
Responsibility:
. 14 Years of exp.
. Led crossfunctional data analytics teams through the successful planning and execution of projects within scope budget and timeline constraints.
. Develop design solutions defining tasks timelines and resource needs.
Facilitate communication and collaboration among stakeholders fostering strong project goals and priorities.
Analyze various data elements and huge datasets by writing effective SQL queries and code to understand customer data and present data for decisionmaking.
Lead the design and development of regulatory use cases and data requests.
Design a standardized architecture incorporating tools from data analytics and establish a reusable framework that ensures consistency scalability and efficiency team adoption across initiatives.
Identify and mitigate project risks proactively resolving issues to prevent potential problems.
Monitor project progress and performance providing weekly regular updates and transparency and accountability.
Design new data pipelines and data models and spearhead the comprehensive redesign of underperforming data pipelines implement enhancements to address existing inefficiencies and improve performance thereby creating a robust solution.
Develop and implement big data analytical projects using Python Spark and Machine validation processes to ensure accuracy quality compliance and reliability of developed solutions.
Perform data profiling governance data quality checks encryption etc. for highquality data reliability.
Conduct feasible assessments and provided technical recommendations for the data solutions.
Employment Type
Full Time
