GCP Data Engineer
TECEZE
TECEZE is seeking a GCP Data Engineer with over 8 years of experience in testing cloud-based data pipelines and ensuring data quality.
Last checked on September 15, 2026. We may earn a commission when you click through.
This position could be suitable for seasoned data engineers seeking to deepen their expertise in cloud technologies. However, the remote work option is unavailable, which might deter some professionals.
About this role
TECEZE is seeking a GCP Data Engineer with over 8 years of experience in testing cloud-based data pipelines and ensuring data quality.
About the Company
TECEZE specializes in advanced technology solutions and is committed to delivering high-quality services in data management.
Key Highlights
- ✓ Experience with Cloud Composer and Apache Airflow
- ✓ Proficient in source-to-target reconciliation
- ✓ Expertise in historical and incremental data load validation
- ✓ Focus on data quality assurance including accuracy and consistency
💡 Honest Take: While the role offers a chance to work with advanced GCP technologies, the lack of salary disclosure can be a red flag for potential candidates. It's advisable to clarify compensation expectations upfront.
Pros
- ✓ Opportunity to work with cutting-edge GCP technologies
- ✓ Focus on data quality and pipeline testing
- ✓ Strong emphasis on professional experience
Cons
- ✗ No remote work option
- ✗ Salary details not disclosed
- ✗ Location-specific to Kolkata, which may limit applicant pool
Best For: Data engineers with over 8 years of experience who are keen on working in Kolkata and prefer hands-on roles in cloud environments.
Watch Out: The lack of salary transparency might indicate limited negotiating power for candidates.
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What Customers Say
Feedback from employees indicates a strong emphasis on professional development but highlights concerns over salary transparency.
Expert Review
This GCP Data Engineer role at TECEZE presents a compelling opportunity for professionals with extensive experience in cloud technologies. The focus on data quality assurance and testing data pipelines is critical data-driven landscape. The absence of remote work could limit the appeal for some candidates, especially in a post-pandemic world where flexibility is highly valued.
the lack of salary disclosure raises questions about compensation expectations, which can be a significant consideration for applicants. While the role promises professional growth, prospective candidates should ensure they are clear on payment structures before proceeding further.
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