Overview
Job Title: GCP Data Engineer – AI/ML & Vertex AI Specialist
Experience: 4 – 8 Years
Location: Hyderabad, Pune, Bangalore, Gurgaon
Employment Type: Full-Time
(Only Immediate joiners)
About EXL Servic
e:
EXL is a global leader in analytics and digital transformation, empowering businesses to make smarter decisions through data-driven insights. Join our team to work on cutting-edge cloud and AI technologies that drive impactful business outcom
es.Role Overvi
ew:We are seeking an experienced GCP Data Engineer with strong expertise in AI/ML and hands-on experience working on Vertex AI projects. The ideal candidate will design, build, and optimize data pipelines on Google Cloud Platform while integrating machine learning models to enable intelligent analytics solutio
ns.Key Responsibiliti
- es:Design, develop, and maintain scalable and efficient data pipelines on Google Cloud Platform (GCP) using tools such as Dataflow, Pub/Sub, BigQuery, and Cloud Stora
- ge.Collaborate with data scientists and ML engineers to deploy, monitor, and optimize machine learning models on Vertex
- AI.Develop ETL/ELT processes to ingest and transform structured and unstructured data from multiple sourc
- es.Implement data integration, cleansing, and transformation workflows to support AI/ML pipelin
- es.Build and manage data warehouses and lakes using BigQuery and other GCP servic
- es.Optimize query performance and ensure data quality and governance complian
- ce.Work with cross-functional teams to understand business requirements and translate them into technical solutio
- ns.Troubleshoot and resolve data engineering issues and performance bottlenec
- ks.Ensure security best practices, including IAM roles, data encryption, and access contro
ls.Required Skills & Experien
- ce:4 to 8 years of experience in data engineering, preferably with a focus on cloud platfor
- ms.Strong expertise in Google Cloud Platform (GCP) services: Dataflow, Pub/Sub, BigQuery, Cloud Storage, Cloud Functions, and Vertex
- AI.Hands-on experience in designing and deploying AI/ML models in production using Vertex AI or similar managed ML platfor
- ms.Proficient in Python, SQL, and scripting languages for data pipeline development and automati
- on.Experience with building and managing ETL/ELT pipelines at sca
- le.Understanding of data warehousing concepts and data lake architectur
- es.Knowledge of containerization tools like Docker, and orchestration with Kubernetes is a pl
- us.Familiarity with CI/CD pipelines for data and ML workflo
- ws.Strong problem-solving skills and ability to work independently and collaborative
- ly.Excellent communication skills and experience working with global tea
ms.Good to Ha
- ve:Experience with other cloud platforms like AWS or Azu
- re.Knowledge of AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-lea
- rn.Certification in GCP Data Engineering or AI/ML is a pl