GCP Data Engineer - Python / SQL / ETL

About the Role :

We are seeking a highly skilled and experienced Data Engineer with deep expertise in Google Cloud Platform (GCP) to join our fast-growing team in Bangalore.

As a Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and architectures to support advanced analytics, reporting, and data-driven decision-making across the organization.

This role demands a strong understanding of distributed computing, cloud-native data tools, and best practices in data governance, performance optimization, and secure data Responsibilities :

• Design, implement, and maintain robust, scalable, and secure data pipelines on GCP.
• Build data architectures that efficiently process structured and unstructured data from multiple sources including APIs, event streams, and databases.
• Leverage GCP services such as BigQuery, Dataflow, Pub / Sub, and Cloud Storage to architect and deploy data solutions.
• Develop ETL / ELT processes to transform raw data into clean, structured, and consumable datasets for data science and analytics teams.
• Optimize existing workflows for cost, performance, and scalability across large datasets using distributed computing tools like Apache Spark and Hadoop.
• Collaborate closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
• Implement and maintain data quality checks, lineage tracking, and metadata management.
• Ensure compliance with data security and privacy standards throughout all data engineering operations.
• Contribute to the continuous improvement of data engineering practices using Agile Skills & Qualifications :
• Minimum 7 years of hands-on experience in Data Engineering, with proven success in cloud-based environments.
• Bachelors degree in Computer Science, Information Technology, Engineering, or a related technical discipline.
• Strong expertise in Google Cloud Platform (GCP), particularly in working with BigQuery, Dataflow, Cloud Composer, and Cloud Storage.
• Proficient in SQL for data manipulation and transformation.
• Solid experience with Python or Scala for data processing and scripting.
• Experience with big data technologies like Apache Spark, Hadoop, and related tools.
• Deep understanding of data modeling, data warehousing concepts, and best practices.
• Familiarity with CI / CD pipelines, version control (Git), and orchestration tools like Airflow or Cloud Composer.
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and extract meaningful insights.
• Excellent communication skills to collaborate effectively with cross-functional teams.
• Working knowledge of data security, compliance, and privacy best to Have :
• Experience with real-time data streaming using Apache Kafka or GCP Pub / Sub.
• Exposure to DevOps practices and Infrastructure as Code (IaC) using tools like Terraform or Deployment Manager.
• Familiarity with Agile / Scrum methodologies and collaborative project tracking tools (e.g., Jira, Confluence)

ref : hirist.tech)