Hiring Data Engineers with data build tool experience for big4 firm in Gurgaon location.

Data Engineer – dbt Cloud & Airflow

Role Overview

We are looking for an experienced
Data Engineer
with strong hands-on expertise in
dbt Cloud and Apache Airflow
to design, develop, and maintain scalable data transformation and orchestration solutions. The ideal candidate should have practical experience working with
GCP BigQuery
and exposure to the
Financial Services (FS) domain
.

The role requires strong problem-solving skills and the ability to design solutions for real-world data engineering challenges, with a focus on
data quality, orchestration, scalability, maintainability, and reliable data pipelines
.

Key Responsibilities
- Design, develop, and maintain scalable data pipelines using
dbt Cloud and Apache Airflow
.
- Implement complex data transformation workflows using
dbt
.
- Develop and maintain
dbt Macros, Snapshots, Tests, Hooks, and Seeds
based on project requirements.
- Design and implement
Airflow DAGs
for efficient data orchestration and dependency management.




- Work with
Airflow architecture, Sensors, Operators, and orchestration patterns
.
- Implement
Airflow Energetic Task Mapping
to improve scalability and pipeline efficiency.
- Work with
GCP BigQuery
for data processing, transformation, storage, and analytics.
- Implement data quality and validation frameworks using
dbt tests and other validation mechanisms
.
- Handle
Slowly Changing Dimensions (SCD Type 2)
and historical data tracking.
- Develop strategies for handling
late-arriving and out-of-sequence data
.
- Define appropriate
dbt implementation strategies
based on project architecture and business requirements.
- Troubleshoot complex data pipeline issues and identify effective solutions.
- Collaborate with business and technical stakeholders to understand requirements and translate them into robust data solutions.
- Ensure data pipelines are scalable, maintainable, reliable, and optimized for performa

📌 Data Engineer (Gurugram)
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📍 Gurugram