Posted on: 15/05/2026
Description :
We are hiring a highly skilled Data Engineer / Technical Lead to drive large-scale Big Data & Cloud initiatives for enterprise customers. The ideal candidate should have strong expertise in Data Engineering, DevOps automation, production support, and cloud technologies along with excellent stakeholder management skills.
Key Responsibilities :
- Lead and support large-scale production data pipelines and distributed systems
- Design scalable and fault-tolerant Big Data solutions
- Drive DevOps automation, CI/CD, monitoring, and deployment practices
- Perform root cause analysis and resolve production issues
- Collaborate with Data Engineers, Data Scientists, and Product teams
- Interact with client stakeholders to understand business requirements
- Mentor team members and drive engineering best practices
- Participate in technical hiring and capability building initiatives
Required Skills :
- Strong experience in Big Data technologies such as Spark, Hadoop, Kafka, Hive, HDFS, Databricks, and PySpark
- Hands-on experience with AWS or Azure cloud platforms
- Strong expertise in Python, PySpark, Java, or Shell scripting
- Experience with Linux systems and CI/CD tools such as Jenkins
- Knowledge of Docker and Kubernetes
- Experience in production support, monitoring, and automation
- Strong debugging and problem-solving skills
- Excellent communication and stakeholder management abilities
Preferred Qualifications :
- Experience handling TB-scale data pipelines
- Strong understanding of distributed systems architecture
- Exposure to DataOps and DevOps best practices
- Experience in client-facing roles and technical leadership
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1636193