Position Details
Bigdata Data Engineer Gcp Apply
Hi
Greetings from Conch Technologies Inc
Position: GCP Data Engineer
Location: Orlando, FL & New York, NY
Duration: 12+ Months Contract
Need 7-12 years exp candidates only
Visa; EAD, L2 EAD, GC and citizens
Must have Skills:
Langchain, llama models python
Machine learning
GCP, Gen AI
Experience in Prompt engineering
Python scripting
Airflow
Vector db knowledge
Langchain, llama models python
Machine learning
GCP, Gen AI
Experience in Prompt engineering
Python scripting
Airflow
Vector db knowledge
Strong expertise in AWS and GCP cloud services, with a focus on data solutions.
5+ years of hands-on experience in a programming language such as Python, Java, or Scala.
Advanced knowledge of SQL and experience with relational databases and data warehouses.
Engineer ingestion and processing pipelines on GCP using Python libraries, Java, BigQuery and Composer.
Strong programming skills in Python or Java.
Experience with cloud based data technologies and services, preferably on Google Cloud Platform (GCP).
Collaborate with cross functional teams to gather requirements and translate them into technical solutions.
Optimize and tune data pipelines for performance, reliability, and scalability.
Implement data quality checks and monitoring processes to ensure data accuracy and integrity.
Troubleshoot and debug issues in data pipelines and provide timely resolutions.
Stay updated with industry best practices and emerging technologies in data engineering
5+ years of hands-on experience in a programming language such as Python, Java, or Scala.
Advanced knowledge of SQL and experience with relational databases and data warehouses.
Engineer ingestion and processing pipelines on GCP using Python libraries, Java, BigQuery and Composer.
Strong programming skills in Python or Java.
Experience with cloud based data technologies and services, preferably on Google Cloud Platform (GCP).
Collaborate with cross functional teams to gather requirements and translate them into technical solutions.
Optimize and tune data pipelines for performance, reliability, and scalability.
Implement data quality checks and monitoring processes to ensure data accuracy and integrity.
Troubleshoot and debug issues in data pipelines and provide timely resolutions.
Stay updated with industry best practices and emerging technologies in data engineering
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