Job Title: Senior Data Engineer (GCP)
Job Type: Contract
Experience: 8+ Years
Location: Remote / Onsite (Flexible)
Job Summary
We are looking for an experienced Senior Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, Python, and SQL to design, develop, and optimize enterprise-scale data platforms. The ideal candidate will have hands-on experience building cloud-native data pipelines, implementing modern data architectures, and delivering high-performance data solutions.
If you are passionate about solving complex data engineering challenges and building scalable cloud solutions, we would love to hear from you.
Key Responsibilities
- Design, develop, and maintain scalable data solutions using Google Cloud Platform (GCP).
- Build and optimize data pipelines using BigQuery, Cloud Storage, and Cloud Functions.
- Design and implement Data Lakes, Data Warehouses, and distributed data storage architectures.
- Develop robust ETL/ELT pipelines integrating data from databases, APIs, and streaming platforms.
- Optimize data storage and processing through partitioning, indexing, compression, and query tuning.
- Monitor data pipelines and system performance while performing root cause analysis and issue resolution.
- Implement automated data quality checks using CloudDQ, PyDeequ, or similar frameworks.
- Collaborate with business stakeholders to gather, analyze, and document technical and functional requirements.
- Mentor junior data engineers and promote engineering best practices.
- Ensure data reliability, scalability, security, and performance across cloud environments.
Required Skills & Qualifications
- 8+ years of experience as a Data Engineer.
- Strong hands-on experience with Google Cloud Platform (GCP).
- Extensive experience with BigQuery.
- Strong programming skills in Python.
- Advanced SQL development and query optimization.
- Experience building cloud-native data pipelines.
- Hands-on experience with Cloud Composer or Apache Airflow.
- Strong understanding of data modeling and database design.
- Experience with ETL/ELT development and multi-source data integration.
- Knowledge of data quality frameworks such as CloudDQ, PyDeequ, or similar tools.
- Experience with NoSQL databases.
- Strong analytical, troubleshooting, and problem-solving skills.
- Excellent communication and stakeholder management skills.
Preferred Skills
- Experience with Google Cloud Dataplex.
- Experience working with large-scale enterprise data platforms.
- Knowledge of performance optimization and distributed data processing.
Job Type: Contract
Work Location: Remote / Onsite (Flexible)
Notice Period: Immediate Joiners Preferred
Pay: ₹80,000.00 - ₹110,000.00 per month
Work Location: Remote
