Gcp Data Engineer
- Trigent Software
- 4 - 8 years
- Bengaluru
- 7 days ago
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Job Description
We are looking for an experienced Data Engineer with deep expertise in Google
Cloud Platform (GCP) to design, build, and manage end-to-end data systems that
drive analytics, business intelligence, and AI initiatives.
In this role, youll be responsible for building high-performance data pipelines that
handle data ingestion, transformation, and integration (ETL/ELT) across multiple
systems. Beyond ETL, you will design the broader data infrastructure, including
data lakes, workflow orchestration, API-driven integrations, and CI/CD automation
to ensure scalability, reliability, and seamless data flow across the enterprise.
This is a hands-on engineering position that blends data architecture, software
engineering, and cloud infrastructure expertise. Youll collaborate closely with
analytics, data science, and product teams to enable a modern, data-driven
ecosystem.
Key Responsibilities
- Design and develop scalable data pipelines using GCP services such as
BigQuery, Dataflow (Apache Beam), Pub/Sub, Dataproc, and Cloud
Composer (Airflow).
- Implement end-to-end ETL/ELT workflows that extract data from multiple
sources, transform it into meaningful formats, and load it into data
warehouses or data lakes.
- Architect and maintain data lake environments using Cloud Storage and
integrate with downstream analytical tools.
- Automate data ingestion frameworks from APIs, streaming platforms, and
external systems into the cloud.
- Implement workflow orchestration and job automation with Airflow/Cloud
Composer to ensure smooth and reliable pipeline execution.
- Enable real-time data streaming and event-driven processing using Pub/Sub,
Kafka, or Dataflow.
- Collaborate with analytics and ML teams to design data models, feature
stores, and data marts that power reporting and AI solutions.
- Develop API-based data services and reusable connectors to enhance
cross-platform data accessibility.
- Integrate CI/CD best practices for data pipelines, including testing,
versioning, and automated deployment through Git, Terraform, and Cloud
Build.
- Establish data governance, lineage, and observability frameworks to ensure
data quality, security, and compliance.
Required Skills & Experience
- 47 years of experience in data engineering or ETL development with large-
scale data systems.
- Strong proficiency in Google Cloud Platform (BigQuery, Dataflow, Pub/Sub,
Dataproc, Cloud Storage, Composer).
- Solid understanding of ETL/ELT design principles, data modeling, and data
warehouse architecture.
- Proficiency in Python, SQL, and experience with distributed data processing
frameworks (Apache Beam, Spark).
- Experience building data lakes and managing schema evolution in
structured and semi-structured data (JSON, Parquet, Avro).
- Skilled in workflow orchestration (Airflow, Dagster, or Prefect) and
infrastructure automation (Terraform, Cloud Deployment Manager).
- Familiarity with API integrations, event streaming, and real-time data
processing.
- Google Professional Data Engineer Certification or equivalent.
- Experience with modern data stack tools like DBT, Looker, or Dataform.
- Familiarity with machine learning data pipelines or feature engineering
workflows.
Job Classification
Industry: Analytics / KPO / ResearchFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: ContractContact Details:
Company: Trigent SoftwareLocation(s): Bengaluru
Keyskills: Bigquery Dataproc Gcp Cloud Data Flow Apache Beam Airflow Data Ingestion Pubsub Looker Workflow Orchestration SQL Data Pipeline Python
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Trigent Software
About Trigent: Trigent is a leading provider of IT services and solutions, headquartered in Boston, USA, with development centers in India. We are committed to delivering high-quality software solutions and services to our clients across the globe. Our expertise spans a wide range of industries, a...
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