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ETL Data Engineer
1 month ago
Location- Pan India
JD-
Primary Responsibilities:
Design and build Data Warehouse structures (databases and SSAS cubes);
Develop unique, simple solutions to meet the immediate and long-term needs of information customers and stakeholders;
Develop data architecture, data modelling, and ETL mapping solutions;
Support the development and validation required throughout the entire lifecycle of the data warehousing and business intelligence systems;
Additional tasks and duties are assigned;
Support the data warehouse technical ecosystem, including SharePoint for the delivery of reporting and analytic applications;
Ability to present complex topics to key stakeholders, business analysts and senior executives;
Ability to document business, functional, and technical requirements;
Lead cross-functional teams in developing innovative client solutions;
Understanding of cloud data warehouse platforms and modern data warehousing techniques;
Troubleshooting the reporting database environment and reports;
Provide quality assurance of imported data, working with quality assurance analyst if necessary;
Commissioning and decommissioning of data sets;
Managing and designing the reporting environment, including data sources, security, and metadata;
Generating reports from single or multiple systems.
Requirements:
10+ years of experience as a Data Warehouse architect and ETL developer;
At least three years of data modelling experience, and knowledge of 3NF, Star-Schema and other data warehousing modelling techniques;
Experience with BI reporting tools
Ability to communicate information clearly, concisely, and effectively both orally and in writing;
Five or more years of experience with data analysis and data profiling using SQL and other tools;
Extensive experience in T-SQL development, MS SQL Server preferred, with strong knowledge in query optimization;
Very strong written and verbal communication skills;
Big Data and Advanced Analytics Experience;
Ability to analyse existing tools and databases and provide software solution recommendations;
SQL Server analysis services. Tabular modelling;
Azure cloud-based services, good to have.
MS fabric Knowledge , exposure certification