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Data Analytics Lead at NTT DATA

2 DL, Rajasthan, India -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Analytics, Cloud Solutions, Azure Synapse, Microsoft Fabric, Azure Databricks, Data Architecture, Data Modelling, ETL Processes, SQL, Pyspark, PowerBI, Communication Skills, Problem-Solving, Analytical Skills

Industry

IT Services and IT Consulting

Description

Build, manage, and foster a high-functioning team of data engineers and Data analysts. Collaborate with business and technical teams to capture and prioritize platform ingestion requirements. Experience of working with manufacturing industry in building a centralized data platform for self service reporting. Lead the data analytics team members, providing guidance, mentorship, and support to ensure their professional growth and success. Responsible for managing customer, partner, and internal data on the cloud and on-premises. Evaluate and understand current data technologies and trends and promote a culture of learning. Build and end to end data strategy from collecting the requirements from business to modelling the data and building reports and dashboards Experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure Synapse / Microsoft Fabric / Azure Databricks Accountable for the data group's activities including architecting, developing, and maintaining a centralized data platform including our operational data, data warehouse, data lake, Data factory pipelines, and data-related services. Experience in designing and building operationally efficient pipelines, utilising core Azure components, such as Azure Data Factory, Azure Databricks and Pyspark etc Strong understanding of data architecture, data modelling, and ETL processes. Proficiency in SQL and Pyspark Strong knowledge of building PowerBI reports and dashboards. Excellent communication skills Strong problem-solving and analytical skills.

Responsibilities

Build and manage a high-functioning team of data engineers and analysts while collaborating with business and technical teams to capture platform ingestion requirements. Lead the data analytics team, ensuring their professional growth and success while managing customer, partner, and internal data on the cloud and on-premises.