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Lead Data Engineer

Lead Data Engineer

Gartner for HR

6 - 8 years

8 - 10 Lacs

Gurugram

Posted:2 days ago| Platform:

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Skills Required

Business process Data analysis GIT Version control Subversion power bi Data warehousing Analysis services SQL Recruitment

Work Mode

Work from Office

Job Type

Full Time

Job Description

Lead Analytics Engineer will provide technical expertise in designing and building Modern Data warehouse in Azure Cloud to meet the data needs for various BU in Gartner. You will be part of the Ingestion Team to bring data from multiple sources into the Data warehouse. Collaborate with Dashboard, Analytic & Business Team to build end to end scalable data pipelines.

What you will do:

Responsible for reviewing and analysis of business requirements and design technical mapping document
Build new ETL pipelines using Azure Data Factory and Synapse
Design, build, and automate data pipelines and applications to support data scientists and business users with their reporting and analytics needs
Collaborate on Data warehouse architecture and technical design discussions
Perform and participate in code reviews, peer inspections and technical design and specifications, as we'll as document and review detailed designs.
Provide status reports to the higher management.
Help build defining best practices & processes.
Maintain Service Levels and department goals for problem resolution.
Design and build tabular data models in Azure Analysis Services for seamless integration with Power BI
Write efficient SQL queries and DAX (Data Analysis Expressions) to support robust data models, reports, and dashboards
Tune and optimize data models and queries for maximum performance and efficient data retrieval.

What you will need:

6-8 years experience in Data warehouse design & development
Experience in ETL using Azure Data Factory (ADF)
Experience in writing complex TSQL procedures in Synapse / SQL Data warehouse.
Experience in analyzing complex code and performance tune pipelines.
Good knowledge of Azure cloud technology and exposure in Azure cloud components
Good understanding of business process and analyzing underlying data
Understanding of dimensional and relational modeling

Nice to Have:

Experience with version control systems (eg, Git, Subversion)
Power BI and AAS Experience for Tabular model design.
Experience with Data Intelligence platforms like Databricks

Who you are:

Effective time management skills and ability to meet deadlines
Excellent communications skills interacting with technical and business audience s
Excellent organization, multitasking, and prioritization skills
Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly.
Intellectual curiosity, passion for technology and keeping up with new trends
Delivering project work on-time within budget with high quality

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Lead Data Engineer