Data Specialist - R01569531

Brillio • Python • SQL • ETL/ELT • 26 days ago
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Salary
≈ $26k – $51k per year (Estimated)
Location
Remote/Hybrid (Hyderabad, India)
Seniority
Senior · 6+ years exp
Overview
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Brillio

Brillio is a global digital technology consulting and services firm headquartered in Edison, New Jersey, and founded in 2014. The company provides a range of services including artificial intelligence engineering, data analytics, cloud infrastructure management, and product design to help enterprises modernize their digital operations. Operating across North America, Europe, and Asia, the firm serves clients in sectors such as financial services, healthcare, and retail through a network of global delivery centers and strategic technology partnerships.
brillio.com • HQ: Edison, United States • Software • Cloud Computing • Data Engineering • Data & Analytics • LLM & Generative AI • Artificial Intelligence • IT Consulting • Information Technology • Est. 2014

GCP Data Engineer-

Location : Bangalore

Experience : +6yrs

About the Role

We are looking for an experienced GCP Data Engineer to design, develop, and optimize scalable data pipelines and cloud-based data solutions on Google Cloud Platform.

The ideal candidate should have strong hands-on experience in GCP Data Engineering, BigQuery, Dataflow, Dataproc, Python/PySpark, and SQL, along with good knowledge of data warehousing and ETL processes.

Primary Skills

    Key Responsibilities

    • Design and develop scalable ETL/ELT data pipelines on GCP.
    • Build and optimize data solutions using BigQuery, Dataflow, Dataproc, Cloud Storage, and Pub/Sub.
    • Develop data processing applications using Python, PySpark, and SQL.
    • Perform data ingestion, transformation, cleansing, and validation.
    • Design efficient data models and data warehouse solutions in BigQuery.
    • Implement batch and real-time data processing pipelines.
    • Optimize pipeline performance and BigQuery queries for scalability and cost efficiency.
    • Integrate data from multiple sources into cloud-based data platforms.
    • Implement data quality, security, monitoring, and governance practices.
    • Work closely with Data Scientists, Architects, Analysts, and business stakeholders.
    • Support cloud migration and modernization initiatives.

Specialization

  • Azure Data Engineering Advanced: Senior Data Engineer
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