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Fiche de poste :
We are looking for an experienced and motivated
Senior GCP Data Engineer
to join our dynamic data team. In this role, you will be responsible for designing, building, and optimizing data pipelines, implementing advanced analytics solutions, and maintaining robust data infrastructure using Google Cloud Platform (GCP) services. You will play a key role in enabling data-driven decision-making and enhancing the performance and scalability of our data ecosystem.
Key Responsibilities:
Design, implement, and optimize data pipelines using
Google Cloud Platform (GCP)
services, including
Compute Engine
,
BigQuery
,
Cloud Pub/Sub
,
Dataflow
,
Cloud Storage
, and
AlloyDB
.
Lead the design and optimization of
schema
for large-scale data systems, ensuring data consistency, integrity, and scalability.
Work closely with cross-functional teams to understand data requirements and deliver efficient, high-performance solutions.
Design and execute complex
SQL queries
for
BigQuery
and other databases, ensuring optimal performance and efficiency.
Implement efficient data processing workflows and streaming data solutions using
Cloud Pub/Sub
and
Dataflow
.
Develop and maintain data models, schemas, and data marts to ensure consistency and scalability across datasets.
Ensure the scalability, reliability, and security of cloud-based data architectures.
Optimize cloud storage, compute, and query performance, driving cost-effective solutions.
Collaborate with data scientists, analysts, and software engineers to create actionable insights and drive business outcomes.
Implement best practices for data management, including governance, quality, and monitoring of data pipelines.
Provide mentorship and guidance to junior data engineers and collaborate with them to achieve team goals.
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).
5+ years of experience in data engineering, with a strong focus on
Google Cloud Platform (GCP)
.
Extensive hands-on experience with
GCP Compute Engine
,
BigQuery
,
Cloud Pub/Sub
,
Dataflow
,
Cloud Storage
, and
AlloyDB
.
Strong expertise in
SQL
for query optimization and performance tuning in large-scale datasets.
Solid experience in designing data schemas, data pipelines, and ETL processes.
Strong understanding of data modeling techniques, and experience with schema design for both transactional and analytical systems.
Proven experience optimizing
BigQuery
performance, including partitioning, clustering, and cost optimization strategies.
Experience with managing and processing
streaming data
and batch data processing workflows.
Knowledge of
AlloyDB
for managing transactional databases in the cloud and integrating them into data pipelines.
Familiarity with data security, governance, and compliance best practices on GCP.
Excellent problem-solving skills, with the ability to troubleshoot complex data issues and find efficient solutions.
Strong communication and collaboration skills, with the ability to work with both technical and non-technical stakeholders.
Preferred Qualifications:
Bachelor's/Master's degree in Computer Science, Data Engineering, or a related field.
Familiarity with infrastructure as code tools like
Terraform
or
Cloud Deployment Manager
.
GCP certifications (e.g.,
Google Cloud Professional Data Engineer
or
Cloud Architect
).
Type de contrat:
en CDIChez UPS, egalite des chances, traitement equitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attaches.
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Job Detail
Job Id
JD3795677
Industry
Not mentioned
Total Positions
1
Job Type:
Full Time
Salary:
Not mentioned
Employment Status
Permanent
Job Location
TN, IN, India
Education
Not mentioned
Experience
Year
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Beware of fraud agents! do not pay money to get a job
MNCJobsIndia.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.