GCP Data Engineer: Face to Face Discussion on 22-Aug(Saturday) in Chennai
HCLTech · Chennai, India ·
- Category
- Data engineering
- Experience
- 3+ years
- Company size
- 1000+
HCLTech · Chennai, India ·
PradeepIT Consulting Services Pvt Ltd
getinz-people · Tamil Nadu, Chennai, India
Tata Consultancy Services · Bangalore Bazaar, India
PALNAR · Uttar Pradesh, India
HCLTech is hiring a GCP Data Engineer in Chennai (walk-in face-to-face interviews on Aug 22) to design, build, and optimize scalable data pipelines and warehouse solutions on Google Cloud Platform, using BigQuery, Dataflow, and Dataproc, with CI/CD automation for data pipeline deployment.
Hi, We are conducting Face to Face discussion on 22-Aug-26(Satuday) in Chennai. Interested candidates please share your resume on [email protected] or directly walk-in to the venue and please mention the recruiter name as Deepawali. Experience: Looking for 3+ Yrs Mandatory Skill Required: GCP Data Engineer with Bigquery, Dataflow, Dataproc PFB Venue details for interview 22nd Aug (F2F) -9.30 AM to 11.00 AM Venue Details. Chennai - HCLTech ETA Techno Park - ETA 1 Rajiv Gandhi Salai (OMR), Navallur, Chennai, Tamil Nadu 603103, India. Contact Person - Ajith/Hari/Nandhini Job Summary We are seeking a skilled GCP Data Engineer with strong experience in Google Cloud Platform (GCP) and hands-on expertise in BigQuery, Dataflow, and Dataproc . The ideal candidate will design, develop, optimize, and maintain scalable data pipelines and data platforms to support analytics, reporting, and business intelligence requirements. Key Responsibilities Design, develop, and maintain data ingestion and transformation pipelines on GCP. Build batch and real-time data processing solutions using Dataflow . Develop and optimize data warehouse solutions using BigQuery . Implement large-scale data processing using Dataproc (Spark/Hadoop) . Design ETL/ELT workflows for structured and unstructured data. Optimize query performance, partitioning, clustering, and cost management in BigQuery. Integrate data from various sources including databases, APIs, cloud storage, and streaming platforms. Ensure data quality, governance, security, and compliance standards. Collaborate with Data Architects, Business Analysts, and Data Scientists to deliver data solutions. Troubleshoot data pipeline failures and ensure high availability of data services. Implement CI/CD processes and automate deployment of data pipelines. Required Skills GCP Services BigQuery Dataflow (Apache Beam) Dataproc (Spark, Hadoop) Cloud Storage Pub/Sub Cloud Composer (Airflow) Cloud Functions IAM and Security Regards, Deepawali (HR-HCLTech)
ia · Quebec, Quebec