
GCP Data Engineer
2 weeks ago
We are seeking an experienced and results-driven
GCP Data Engineer
with 4+ years of hands-on experience in designing, developing, and managing scalable data pipelines and analytics solutions using Google Cloud Platform. The ideal candidate will have deep expertise in
BigQuery
,
Dataflow
, and other GCP data services to support our enterprise-level data initiatives.
Key Responsibilities:
- Design and implement scalable and efficient data pipelines using
GCP services
, especially
BigQuery
,
Dataflow
,
Cloud Storage
, and
Pub/Sub
. - Develop data ingestion frameworks to handle structured and semi-structured data from various sources in batch and real-time modes.
- Transform raw data into clean, curated datasets for downstream consumption using
ETL/ELT best practices
. - Optimize BigQuery queries and table structures for performance and cost efficiency.
- Implement robust data quality and validation checks throughout the data pipeline lifecycle.
- Collaborate with data analysts, scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Manage metadata, data lineage, and cataloging using tools such as
Data Catalog
. - Monitor, troubleshoot, and optimize data workflows to ensure system reliability and data integrity.
- Follow best practices in version control, CI/CD, and infrastructure-as-code for data engineering workflows.
Required Skills & Qualifications:
- Bachelor's or Master's degree
in Computer Science, Information Technology, Engineering, or a related field. - 4+ years of experience
in Data Engineering, with a strong focus on GCP. - Expertise in
BigQuery
,
Dataflow (Apache Beam)
, and
Cloud Storage
. - Proficiency in
SQL
,
Python
, or
Java
for data processing and pipeline development. - Experience with
ETL/ELT design
patterns and tools. - Familiarity with
Pub/Sub
,
Cloud Functions
, and
Composer (Airflow)
is a plus. - Strong understanding of
data modeling
,
data warehousing concepts
, and
performance tuning
. - Experience working in
Agile/Scrum
environments with DevOps and CI/CD principles. - Excellent problem-solving and communication skills.
Preferred Qualifications:
- GCP Professional Data Engineer Certification.
- Experience with data security, governance, and compliance standards.
- Exposure to other cloud platforms (AWS, Azure) is an added advantage.
- Knowledge of machine learning workflows and MLOps is a plus.
-
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