We are seeking a skilled Cloud Data Engineer with 7+ years of experience to design, build, and maintain scalable, high-performance data pipelines in a cloud-native environment. The ideal candidate will have hands-on experience with major cloud platforms and a strong foundation in data engineering principles, including orchestration, storage, and large-scale data processing. You will play a key role in developing and optimizing data solutions that support analytics, machine learning, and business intelligence initiatives across multi-cloud environments.

Roles and Responsibilities

Cloud Data Engineer,Data Pipeline Architect,Design, develop, and maintain cloud-native data pipelines using AWS, Azure, or GCP.,Implement and manage data ingestion, transformation, and loading processes using tools like Airflow, Cloud Composer, or similar orchestration platforms.,Work with cloud storage services such as AWS S3,



Azure Data Lake Storage (ADLS), and Google Cloud Storage (GCS) to build scalable data lake and lakehouse architectures.,Optimize data pipeline performance and ensure reliability, scalability, and observability in production environments.,Collaborate with data scientists, analysts, and stakeholders to deliver high-quality, governed data assets.,Troubleshoot and resolve production incidents with a focus on root cause analysis and long-term prevention.,Contribute to CI/CD practices and infrastructure-as-code using Terraform, Docker, and Kubernetes.,Ensure data quality, consistency, and governance across all data assets.,Support the adoption of contemporary data platforms such as Databricks, Snowflake, or BigQuery.

📌 Data Engineer (Hyderabad)
🏢 ValueLabs
📍 Hyderabad