| Position | Engineer |
| Posted | 2025 September 19 |
| Expired | 2025 October 19 |
| Company | Alp Consulting Ltd. |
| Location | Bangalore, Karnātaka | IN |
| Job Type | Full Time |
Latest job information from Alp Consulting Ltd. for the position of Engineer. If the Engineer vacancy in Bangalore, Karnātaka matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Alp Consulting Ltd. for the position of Engineer below matches your qualifications.
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 BigQuery, 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: BigQuery, 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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