Engineer

2 days ago


Bangalore, India Alp Consulting Ltd. Full time

Job Summary: As a GCP Data Engineer, you will be responsible for designing, building, and maintaining scalable data processing systems on Google Cloud Platform (GCP). You will collaborate with cross-functional teams to ensure data is accessible, reliable, and optimized for analytics and machine learning initiatives. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain ETL/ELT pipelines using tools like Cloud Dataflow , Apache Beam , and Cloud Dataprep . Implement real-time data streaming solutions using Cloud Pub/Sub or Apache Kafka . Data Storage & Warehousing: Manage and optimize storage solutions such as Big Query , Cloud Storage , and Cloud Spanner . Design efficient data models and schemas for structured and unstructured data. Data Integration & Transformation: Integrate data from multiple sources into unified data lakes or warehouses. Cleanse, enrich, and transform raw data into analytics-ready formats. Performance Optimization: Monitor and troubleshoot data pipelines. Optimize workflows for scalability, performance, and cost-efficiency. Security & Compliance: Implement data governance policies. Ensure compliance with data protection regulations (e.g., GDPR, HIPAA). Collaboration & Communication: Work closely with data scientists, analysts, and business stakeholders. Translate technical solutions into business insights. Required Skills: Proficiency in Python , SQL , and optionally Java or Scala . Experience with GCP services: Big Query , Cloud Dataflow , Cloud Storage , Cloud Composer , etc. Strong understanding of data warehousing , data modeling , and ETL processes . Familiarity with real-time data processing and streaming architectures . Knowledge of data governance , security , and compliance standards . Qualifications: Bachelor’s degree in Computer Science , Engineering , or related field. GCP Professional Data Engineer certification (preferred). 2+ years of experience in data engineering, preferably in cloud environments.



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