Hope you are doing good.
Please find the below requirement and revert back with suitable resumes.
Location: San Jose, CA (Day 1 Onsite)
Exp required: 10+ years
Visa status: Any visa Except OPT and please avoid modified GC cards.
For GC need E-Verify Mandatory
Max rate: $55/hr on C2C
Job Description:
We are looking for a highly skilled and motivated Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining scalable data infrastructure that drives business intelligence, advanced analytics, and machine learning initiatives.
You must be comfortable working autonomously, navigating complex challenges, and driving projects to successful completion in a dynamic cloud environment
Core Responsibilities
Design and Optimization: Design, implement, and optimize clean, well-structured, and performant analytical datasetsto support high-volume reporting, business analysis, and data science model development.
Pipeline Development: Architect, build, and maintain scalable and robust data pipelines for diverse applications, including business intelligence, advanced analytics
Big Data & Streaming: Implement and support Big Data solutions for both batch (scheduled) and real-time/streaminganalytics.
Collaboration: Work closely with product managers and business teams to understand data requirements and translate them into technical solutions.
Required Skills & Experience
Cloud Platform Expertise (GCP Focus): Extensive hands-on experience working in dynamic cloud environments, with a strong preference for Google Cloud Platform (GCP) services, specifically:
BigQuery: Expert-level skills in data ingestion, performance optimization, and data modeling within a petabyte-scale environment.
Experience with other relevant GCP services like Cloud Storage, Cloud Dataflow/Beam, or Pub/Sub
Programming & Querying:
Python: Expert-level programming proficiency in Python, including experience with relevant data engineering libraries
SQL: A solid command of advanced SQL for complex querying, data processing, and performance tuning.
Data Pipeline Orchestration: Prior experience using workflow management and orchestration tools (e.g., Apache Airflow, Cloud Composer, Airflow,Dagster, or similar).
DevOps/CI/CD: Experience with version control (Git) and familiarity with CI/CD practices and tools (e.g., GitLab, GitHub Actions) to automate deployment and testing processes.
Need
below details ASAP:
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Candidate Details |
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Full Name |
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Contact Number |
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Personal Email ID |
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Skype ID |
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Technology |
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Total Exp |
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US Experience |
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DOB (MM/DD/YYYY) |
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LinkedIn ID |
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Work authorization & Validity |
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US Entry |
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Visa on arrival to USA |
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Currently working(Y/N): If yes reason for change? |
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Passport Number |
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Last four digits of SSN |
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Current Location |
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Relocation |
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Any Interviews in pipeline |
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Availability to Join Project |
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Master’s (Stream, University & Year of Completion) |
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Bachelor’s (Stream, University & Year of Completion) |
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References:1 (Current Client) |
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References:2 (Previous Client) |
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Comments |
NA |