Sr Data Engineer
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| Company Name | Tata Consultancy Services |
| Company Type | Private |
| Job Type | Full-Time |
| Salary Range | Market Competitive |
| Location | Dubai, United Arab Emirates |
| Qualifications | None / No Formal Education |
| Experience | 5 Year+ |
Job Overview
Tata Consultancy Services (TCS) is seeking a highly skilled Sr Data Engineer to join their dynamic team in Dubai, United Arab Emirates. This pivotal role involves designing, developing, and optimizing robust and scalable data solutions, contributing to TCS’s aspiration to become the world’s largest AI-led technology services company. You will play a key part in transforming client operations through advanced data engineering.
Company Overview
Tata Consultancy Services (TCS) is a global technology partner, recognized for innovation and engineering excellence since its inception in 1968. TCS aims to be the world’s largest AI-led technology services company, empowering clients across the full AI stack. Rooted in the Tata Group, TCS creates long-term value for clients, investors, employees, and communities. With a highly skilled workforce across 55 countries and 202 service delivery centers, TCS is a top employer, fostering enduring partnerships that have navigated every technology cycle. The company also sponsors prestigious marathons, promoting health, sustainability, and community empowerment.
Quick Details
- Salary Range: Market Competitive
- Job Type: Full-time
- Qualifications: None / Open to all applicants
- Experience: 5 Year+
Key Responsibilities
- Design, develop, and optimize robust and scalable data pipelines and architectures.
- Implement cutting-edge data solutions to support AI/ML initiatives and enterprise data needs.
- Ensure data quality, integrity, and security across all data platforms.
- Collaborate effectively with cross-functional teams to gather requirements and deliver impactful solutions.
- Mentor junior data engineers and champion best practices in data engineering.
- Perform performance tuning, troubleshooting, and maintenance for complex data systems.
Requirements
- Proven experience as a Data Engineer, with strong proficiency in data modeling and ETL processes.
- Expertise in big data technologies (e.g., Spark, Hadoop, Kafka) and cloud platforms (AWS, Azure, GCP).
- Strong programming skills in languages such as Python, Java, or Scala.
- Experience with various databases, including relational and NoSQL systems.
- Ability to work independently and collaboratively in a fast-paced, agile environment.
- Excellent problem-solving skills and a strong commitment to engineering excellence.
Benefits
- Opportunity to work with cutting-edge AI-led technologies in a leading global organization.
- Clear pathways for long-term career growth and continuous professional development.
- Be part of a highly skilled, diverse workforce operating across 55 countries.
- Supportive and innovative work environment focused on engineering excellence.
- Contribution to high-impact client projects and digital transformations.
- Access to employee well-being initiatives and community engagement programs.
