Design, build, and maintain scalable and robust data pipelines and ETL workflows using GCP services.
Work extensively with BigQuery, Cloud Storage, Cloud Dataflow, and other GCP components to ingest, process, and transform large datasets.
Leverage big data frameworks such as Apache Spark and Hadoop to process structured and unstructured data efficiently.
Develop and optimize SQL queries and Python scripts for data transformation and automation.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Implement best practices for data quality, monitoring, and alerting for data workflows.
Ensure compliance with data governance policies, including data privacy, security, and regulatory standards.
Continuously improve system performance and reliability by identifying and resolving bottlenecks or inefficiencies.
Participate in code reviews, architecture discussions, and technical Qualifications :
Bachelors degree in Computer Science, Information Technology, or a related technical field.
3+ years of hands-on experience in data engineering, with a focus on large-scale data processing and
cloud technologies.
Strong expertise in Google Cloud Platform (GCP), particularly BigQuery, Cloud Composer, Cloud Storage, Dataflow, and Pub / Sub.
Solid knowledge of SQL, Python, and scripting for automation and data manipulation.
Practical experience with Apache Spark, Hadoop, or similar distributed computing frameworks.
Familiarity with data modeling, warehousing concepts, and data pipeline orchestration.
Understanding of data privacy, security, and governance in cloud environments.
Excellent problem-solving skills and ability to work in a collaborative team Skills (Good to Have) :
GCP Certification (e.g., Professional Data Engineer)
Experience with CI / CD pipelines and infrastructure-as-code tools (e.g., Terraform)
Exposure to Airflow or Cloud Composer for orchestration
Experience working in Agile development environments
ref : hirist.tech)
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Cloud Data Engineer • Bangalore
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