Data Architect

4 weeks ago


india Quantzig Full time

About Us


We are one of the world’s foremost full-service advanced analytics and business intelligence solution providers. We turn clients’ complex, unstructured data into intelligent, actionable insights that enable them to solve complex business problems and inspire innovation, change, and growth. We take on a wide range of projects, ranging from business intelligence and reporting, AI, IoT, and automation, to advanced analytics.

Our insights have helped over 120 clients spanning across industries and sectors like Pharmaceutical and Life Sciences, Retail and CPG, Food and Beverage, and more. We have successfully delivered 1500 in-depth solutions in areas like Marketing Analytics, Customer Analytics, Supply Chain Analytics, and more.


Technical traits:

  • Looking for someone having more than 8+years of experience in the IT domain.
  • 5+ years of experience into Azure and good experience working with SSIS packages.
  • Strong knowledge of SQL. Require 5+ experience working on SQL scripting and stored procedures.
  • Design and develop SQL Server stored procedures, functions, views, and triggers to be used during the ETL process.
  • Design, develop, and maintain data pipelines and workflows to ingest, process, and deliver data efficiently and reliably.
  • Implement workflow automation solutions to streamline data processing, transformation, and integration tasks.
  • Experience in implementing data ingestion patterns.
  • Collaborate with data stakeholders to gather and understand requirements for data workflows and automation processes.
  • Ensure data governance standards are met by implementing automation for data quality checks, data lineage, and metadata management.
  • Monitor and optimize data workflows for performance, scalability, and reliability.
  • Troubleshoot and resolve data pipeline issues promptly to minimize downtime and data loss.
  • Collaborate with data architects and data scientists to ensure data infrastructure meets analytical needs.
  • Develop and maintain documentation for data workflows, governance automation, and best practices.


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