GCP Data Engineer

Tata Consultancy Services

0 years

0 Lacs

chennai tamil nadu india

Posted:1 day ago| Platform:

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Skills Required

gcp data tuning apache orchestration git certification aws engineering design dataflow composer etl checks monitoring security compliance governance efficiency storage airflow scripting sql azure containerization docker kubernetes

Work Mode

On-site

Job Type

Full Time

Job Description

ng, transformation, and performance tuning.
Experience with
Apache Airflow
for orchestration of data workflows.
Familiarity with CI/CD pipelines and version control (e.g., Git).
Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications:

GCP Professional Data Engineer certification.
Experience with data modeling and data warehousing concepts.
Exposure to other cloud platforms (AWS
Job Summary:
We are seeking a highly skilled and experienced
GCP Data Engineer
to join our dynamic data engineering team. The ideal candidate will have a strong background in
Google Cloud Platform (GCP)
,
Airflow
,
Python
, and
SQL
, with a proven track record of building scalable data pipelines and solutions in cloud environments.
Key Responsibilities:
Design, develop, and maintain scalable and robust data pipelines on
GCP
using
Cloud Dataflow, BigQuery, Pub/Sub, and Cloud Composer (Airflow)
.
Build and optimize ETL workflows to ingest, transform, and store large volumes of structured and unstructured data.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
Implement data quality checks, monitoring, and alerting mechanisms.
Ensure data security, compliance, and governance best practices are followed.
Optimize performance and cost-efficiency of data pipelines and storage solutions.
Required Skills:
Strong experience with GCP services
: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer (Airflow), etc.
Proficiency in Python
for scripting and data manipulation.
Advanced SQL skills
for data queryi, Azure) is a plus.
Knowledge of containerization (Docker, Kubernetes) is an advantage.

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