GCP Data Engineer

2 weeks ago

Madurai, India Techmango Technology Services Private Limited Full time

About TechMango:

Founded in 2014, TechMango Technology Services is a leading software development company with a strong focus on emerging technologies. Our primary goal is to deliver strategic solutions that align with our business partners' technological needs.

We specialize in providing custom software solutions using the best available technologies, ensuring quality delivery within defined timelines. Our services include analysis, design, architecture, programming, testing, and long-term technical support, all aimed at achieving ultimate customer satisfaction.

Recognized as the Best Offshore Software Development Company in India, TechMango is driven by the mantra, "Clients' Vision is our Mission." We strive to be a technologically advanced and highly regarded organization, offering high-quality and cost-efficient services while fostering long-term client relationships.

We operate in the USA (Chicago, Atlanta), UAE (Dubai), and India (Bangalore, Chennai, Madurai, Trichy, Coimbatore).

For more information, please visit our

Techmango | Digital Transformation Solutions | IT Consulting

We provide cutting-edge technology solutions based on digital, Business Analytics, Cloud, Big Data, IoT, Blockchain, Managed IT Services & Technology

Job Title: Technical GCP Data
Engineer

Location: Madurai / Chennai (WFO / Remote)

Experience: 3+ Years

Notice Period: Immediate

Job Summary

We are seeking a 
hands-on Technical GCP Data Engineer
with deep expertise in 
real-time streaming data architectures
 to help design, build, and optimize data pipelines in our Google Cloud Platform (GCP) environment. The ideal candidate will have strong architectural vision and be comfortable rolling up their sleeves to build 
scalable, low-latency streaming data pipelines
 using 
Pub/Sub, Dataflow (Apache Beam)
, and 
BigQuery
.

Key Responsibilities

  • Architect and implement end-to-end 
    streaming data solutions
     on GCP using 
    Pub/Sub
    , 
    Dataflow
    , and 
    BigQuery
    .
  • Design real-time ingestion, enrichment, and transformation pipelines for high-volume event data.
  • Work closely with stakeholders to understand data requirements and translate them into scalable designs.
  • Optimize streaming pipeline performance, latency, and throughput.
  • Build and manage orchestration workflows using 
    Cloud Composer (Airflow)
    .
  • Drive schema design, partitioning, and clustering strategies in BigQuery for both real-time and batch datasets.
  • Define SLAs, monitoring, logging, and alerting for streaming jobs using 
    Cloud Monitoring
    , 
    Error Reporting
    , and 
    Stackdriver
    .
  • Experience with data modeling.
  • Ensure robust security, encryption, and access controls across all data layers.
  • Collaborate with DevOps for CI/CD automation of data workflows using 
    Terraform
    , 
    Cloud Build
    , and 
    Git
    .
  • Document streaming architecture, data lineage, and deployment runbooks.

Required Skills & Experience

  • 3+ years of experience in data engineering or architecture.
  • 1.5+ years of 
    hands-on GCP data engineering
     experience.
  • Strong expertise in:
  • Google Pub/Sub
  • Dataflow (Apache Beam)
  • BigQuery (including streaming inserts)
  • Cloud Composer (Airflow)
  • Cloud Storage (GCS)
  • Solid understanding of 
    streaming design patterns
    , 
    exactly-once delivery
    , and 
    event-driven architecture
    .
  • Deep knowledge of SQL and NoSQL data modeling.
  • Hands-on experience with 
    monitoring and performance tuning
     of streaming jobs.
  • Experience using 
    Terraform
     or equivalent for infrastructure as code.
  • Familiarity with 
    CI/CD pipelines
     for data workflows.

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