GCP Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a GCP Data Engineer with a contract length of "unknown" and a pay rate of "$/hour". Key skills include big data technologies, SQL, and data modeling. Experience with GCP and building data pipelines is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 15, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Hadoop #GCP (Google Cloud Platform) #Apache Spark #Big Data #BigQuery #Datasets #Data Modeling #Data Pipeline #Airflow #Spark (Apache Spark) #AWS (Amazon Web Services) #Cloud #Data Integration #Luigi #Scala #Data Engineering #Apache Hive #Spark SQL #SQL (Structured Query Language) #Batch #Azure
Role description
Job Decription\\
experience development of big data technologies/data pipelines
Experience in managing and manipulating huge datasets in the order of terabytes (TB) is essential.
Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.
Experience in building idempotent workflows using orchestrators like Automic, Airflow, Luigi etc.
Experience in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL
Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets.
Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work.
Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process.
Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative.
Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project.
Job Decription\\
experience development of big data technologies/data pipelines
Experience in managing and manipulating huge datasets in the order of terabytes (TB) is essential.
Experience with in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) to build batch data pipelines with strong focus on optimization, SLA adherence and fault tolerance.
Experience in building idempotent workflows using orchestrators like Automic, Airflow, Luigi etc.
Experience in writing SQL to analyze, optimize, profile data preferably in BigQuery or SPARK SQL
Strong data modeling skills are necessary for designing a schema that can accommodate the evolution of data sources and facilitate seamless data joins across various datasets.
Ability to work directly with stakeholders to understand data requirements and translate that to pipeline development / data solution work.
Strong analytical and problem-solving skills are crucial for identifying and resolving issues that may arise during the data integration and schema evolution process.
Ability to move at a rapid pace with quality and start delivering with minimal ramp up time will be crucial to succeed in this initiative.
Effective communication and collaboration skills are necessary for working in a team environment and coordinating efforts between different stakeholders involved in the project.
