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GCP Data Engineer
Shreem Talent Bridge —Remote
- ₹2,00,000 - ₹28,00,000 a year
- Full-time
- Remote
- Salesforce
- SQL
- Mentoring
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9h
GCP Data Engineer - Technical Lead
Jobbycart Technologies —Remote
- ₹5,09,523.85 - ₹18,68,850.93 a year
- Full-time
- Remote
- Salesforce
- SQL
- Mentoring
- Health insurance
- Work from home
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7h
Software Development Engineer - Mobile & Commerce (Apprentice)
HighLevel —Remote
- ₹50,000 a month
- Full-time
- Remote
- JavaScript
- APIs
1h

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GCP Data Engineer - Technical Lead
Jobbycart Technologies —Remote
Lead and guide an offshore BAU production support team ensuring seamless overlap with US working hours. Continuous Improvement: Identify recurring issues in the…
₹5,09,523.85 - ₹18,68,850.93 a year
Quick apply
7h
GCP Data Engineer
Shreem Talent Bridge —Remote
Technical Leadership & Mentorship: Lead and guide an offshore BAU production support team ensuring seamless overlap with US working hours.
₹2,00,000 - ₹28,00,000 a year
Quick apply
9h

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GCP Data Engineer

Shreem Talent Bridge
Remote

Quick apply

Job details

Permanent | Full-time
₹2,00,000 - ₹28,00,000 a year
9 hours ago

Qualifications

Data modelling
Incident management
Salesforce
Microsoft SQL Server
Google Cloud Platform
SQL
Mentoring
APIs
Apache
Communication skills
Data warehouse
Python
Hadoop

Full job description

Role: GCP Data Engineer

Remote option:-yes

Mandatory Skill- SQL Server, Python, airflow, Hadoop, BigQuery, Data lake

**Billing Start date: Immediate

Shift Timings: 2 – 11 PM IST

Technical Lead

Hands-on Technical Lead to spearhead a Business As Usual (BAU) Data Engagement team owning the stability, reliability, and continuous improvement of Production data pipelines running on Google Cloud Platform.

Technical Lead will bridge the gap between technical execution and operational excellence managing the end-to-end data lifecycle from Data Lake to Dimensional/Fact tables, and ultimately to the Data warehouse. As a working lead the expectation is to mentor a Data Engineering team and dive into the code to implement SQL fixes, optimize DAGs and ensure bulletproof change management across the dev-to-prod lifecycle.

Key Responsibilities

Technical Leadership & Mentorship: Lead and guide an offshore BAU production support team ensuring seamless overlap with US working hours.
Hands-On Production Support: Act as the ultimate point of escalation for troubleshooting, debugging, and resolving pipeline failures for data issues.
Pipeline Management & Optimization: Oversee the data flow architecture (Data Lake → Dims/Facts) and execute complex SQL fixes, DAG updates, data backfills, and system validations.
Rigorous Change Control: Ensure all production deployments have comprehensive evidence, testing, and robust rollback plans before execution.
Continuous Improvement: Identify recurring issues in the data pipelines and implement proactive, automated solutions using Python and SQL to reduce technical debt and manual toil.
Required Skills & Experience

Experience: 8+ years of dedicated Data Engineering experience with a proven track record of acting in a Team Lead or Technical Lead capacity.
GCP Data Stack: Deep hands-on expertise in Google BigQuery including advanced concepts like Slowly Changing Dimensions (SCD Type 1/2), partitioning, clustering, and cost optimization.
Orchestration: Extensive experience building and maintaining complex DAGs in Apache Airflow / Cloud Composer including proficiency with Jinja templating.
Programming: Strong proficiency in Python for data manipulation, automation, and API integration.
Operational Excellence: Deep understanding of production support workflows, incident management, and strict ITIL/Change Control processes.
Collaboration: Excellent communication skills with the ability to provide reliable overlap with standard US working hours.
Preferred Qualifications

Data Modeling: Strong foundational knowledge of the Kimball Data Warehouse methodology (Star Schemas, Dimensions, Facts).
Source Systems: Experience extracting, transforming, and loading data from Salesforce. (Nice to Have)
Global Teams: Prior experience leading, mentoring, or collaborating with offshore BAU/Support engineering teams.
SR NO Skills Experience Rating
1 Google Cloud Platform
2 SQL Server
3 Python
4 Airflow
5 Hadoop
6 BigQuery
7 Data lake

Pay: ₹200,000.00 - ₹2,800,000.00 per year

Work Location: Remote

Quick apply

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