BENGALURU · FULLTIME
Data Engineer
Talentgigs
Bengaluru · onsite · Posted 15d ago
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Section · 01
About this role
JOB Description : Role: Senior Data Engineer Location: Chennai / Bengaluru Work Mode : Hybrid Notice Period: Immediate to 15 days Years of Exp: 4+ Years
About the Role :We are looking for a highly skilled
Senior Data Enginee r with ML to design, build, and operate reliable, scalable, and cost-efficient data pipelines. This role focuses on production-grade data systems using
Pytho n and modern orchestration tools, with strong collaboration across Data Science and analytics teams .You will play a key role in enabling high-quality, well-governed, and discoverable data across the organization . Key Responsibilitie
🔹 Data Pipeline Engineering
- Design, build, and maintain robust, scalable data pipelines usin
g Python
- Develop and manage orchestration workflows usin
g Apache Airfl ow
/ Google Cloud Composer.
- Ensure high availability, fault tolerance, and performance of data workflows
- wsImplement monitoring, alerting, and observability best practices.
🔹 Production Operations & Reliability
- Own scheduling, monitoring, and incident management for data pipelines
- Ensure SLAs and data freshness requirements are met
- Implement proactive quality checks and validation frameworks
- Optimize pipelines for performance and cost-efficiency in cloud environments
🔹 Data Governance & Collaboration
- Define and enforc
e data contrac ts across producers and consume
- Contribute to and maintain
a data catalog
- Partner closely with Data Science and Analytics teams for schema alignment, data discovery, and pipeline optimization
- Support reproducibility and transparency of datasets used in modeling
🔹 Cloud & Architecture
- Work withi
n Google Cloud Platform (GC P) environments
- Design cost-aware architectures and storage strategies
- Improve CI/CD, version control, and deployment workflows for data systems .Required Skills & Experience
- Strong proficiency i
n Pytho n with ML Deployment (must)
- Hands-on experience wit
h Apache Airfl ow and/o
r Google Cloud Composer
- Experience building and maintaining production data pipelines
- Strong understanding of Workflow orchestration (Airflow) Monitoring & alerting Data quality frameworks Scheduling & dependency management
- Experience with cloud platforms (preferabl
y G CP)
- Solid understanding of data modeling and pipeline design principle
- Experience implementing or working wit
h data contract
- Exposure t
o data catalogs and metadata management.
- Strong operational mindset with focus on reliability and maintainability
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Section · 02