Job Description

Job Title – Lead cloud Data Engineer

Company – TCS (MEA)

Location – Dubai, UAE

Job type – Full time

About Us:

Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world's largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development.

A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world's best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.

Key Responsibilities

Job Context

Work with the business lines to understand the data ingestion and cloud data engineering requirements
Work with the data modellers to translate the same into cloud/on-prem data engineering workloads design and then develop the same into appropriate engineering language – Databricks pipelines and ADF pipelines.
Very strong hands-on skills and at least 3 years experience in developing databricks and Azure Data Factory pipelines
Follow the principle of medallion architecture (3 layers of data in Azure data lake) of getting the data in right data zones basis the requirement
Work and collaborate in multi-disciplinary Agile teams, adopting Agile spirit, methodology and tools
Help code and scale applications in a multi-cloud environment integrated with on-premise
Work with the platform lead to spot out and remediate the potential operational risks of the platform

Qualifications & Experience

Years of experience in data engineering and transformation on Cloud
Years of Very Strong Experience in Azure Data Engineering, Databricks
Expertise in supporting/developing Data warehouse workloads at enterprise level
Experience in pyspark is required – developing and deploying the workloads to run on the Spark distributed computing
Candidate must possess at least a Graduate or bachelor's degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent.
Cloud deployment: Preferably Microsoft azure
Experience in implementing the platform and application monitoring using Cloud native tools
Experience in implement application self-healing solutions through proactive and reactive automated measures

Application Deadline: 30th -September-2026

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