GCP Data Engineer
The Judge Group
Location : Chennai - HybridExperience : 4+ Years (Min. 2 years hands-on with GCP Data Platforms)Job Summary :We are seeking a high-caliber GCP Data Engineer to design, build, and deploy scalable cloud-based data platforms. This role is focused on architecting sophisticated data pipelines that power our AI and analytics initiatives. You will be responsible for the end-to-end lifecycle of data, from ingestion via microservices to high-performance warehousing in BigQuery.The ideal candidate is a Python expert who understands the financial and technical nuances of cloud computing-specifically how to optimize compute resources and cost within the Google Cloud ecosystem.Key Responsibilities :- Pipeline Architecture : Design and deploy complex, automated data pipelines using GCP Services (BigQuery, Dataflow, DataProc) and orchestrate them using Apache Airflow.- Infrastructure & Automation : Build and maintain repeatable environments using Infrastructure as Code (Terraform) and CI/CD frameworks (Tekton).- Cloud Optimization : Actively monitor and optimize cost and compute resources for high-intensity processes (Cloud Run, Dataflow, BigQuery) to ensure platform efficiency.- Data Governance & Security : Implement robust data encryption, masking techniques, and governance frameworks to ensure secure and compliant data flows in a cloud environment.- Microservices Integration : Collaborate on Service-Oriented Architecture (SOA) and microservices to ensure seamless data flow between application layers and the data platform.- Database Management : Manage diverse data storage solutions, including Relational (PostgreSQL/MySQL), NoSQL, and Columnar (BigQuery) databases.Skills & Qualifications :Required Technical Skills :- Primary Languages : Advanced Python, SQL, and Java.- GCP Core : Deep expertise in BigQuery, Dataflow, DataProc, and Cloud Run.- Orchestration : Hands-on experience with Apache Airflow.- DevOps/IaC : Proficiency in Terraform, Tekton, and CI/CD pipelines.Professional Experience :- Tenure : 4+ years in Data or Software Engineering.- Cloud Focus : At least 2 years specifically building and deploying cloud-native data platforms (GCP preferred).- Problem Solving : Proven ability to troubleshoot complex microservices and data platform issues. (ref:hirist.tech)
- Description : Job Title : GCP Data EngineerLocation : Hyderabad / Bangalore / Chennai / PuneExperience Required : 7+ YearsEmployment Type... ...Overview : We are seeking a highly skilled and experienced GCP Data Engineer to join our growing data and analytics team. The ideal candidate...SuggestedFull time
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Rs 15 - 30 lakhs p.a.
...Job type: full-time We are looking for a highly experienced Data Engineer to design and build scalable, high-performance data systems that... ...cloud and DevOps teams to manage data infrastructure on AWS, GCP, or Azure environments Continuously evaluate and adopt new technologies...Full timeWeekday work- ...people who care, we'd love to meet you! ABOUT THE ROLE Data Engineer role focuses on building and evolving scalable data solutions... ...scalable, distributed, fault-tolerant data pipelines on GCP, including BigQuery-based lakehouse layers and Dataproc-driven Delta...Full timeLocal areaRemote job
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Data Engineer Start Date Starts Immediately CTC (ANNUAL) ₹ 2,40,000 - 3,00,000 ₹ 2,40,000 - 3,00,000 /year Experience...Immediate start- ...because, no matter our backgrounds or responsibilities, we are one team. About the Role Platform Science is looking for a Data Engineer for our Core Product Development team in Chennai. In this role, you will be heavily involved in the design and development of data...Full time
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Hiring Alert | Data Engineer – Data Integration | Chennai | IBM Project We are hiring experienced Data Engineers for an exciting IBM opportunity in Chennai. Location: Chennai Role: Data Engineer – Data Integration Experience: 5-7 years Work Mode: Work...Full timeWork at officeImmediate start- ...ChennaiExperience : 5 - 7 YearsOverview :We are looking for a hands-on Data Engineer to design micro data lakes, define enterprise data strategies,... ...and tools such as Databricks, Spark, Kafka, Snowflake, AWS, GCP, and Azure.- Mentor data engineers and advocate for engineering...
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