
Data Engineer
2 weeks ago
Job Tittle - Data Engineer
Job Location - Pune (Onsite)
Job Type- Fulltime
Start Date - 1st Oct 2015
About the Role
We are seeking a highly skilled Data Engineer to design, build, and manage robust data pipelines and frameworks on Google Cloud Platform (GCP). The ideal candidate will have hands-on experience in PySpark, Python, GCP services (BigQuery, Cloud Functions, Pub/Sub), and Terraform, with strong capabilities in pipeline development, monitoring, and documentation (HLD & LLD).
Key Responsibilities
- Data Pipeline Development
- Design, build, and optimize scalable ETL/ELT data pipelines using PySpark and Python.
- Implement GCP-native solutions leveraging BigQuery, Cloud Functions, Pub/Sub, and related services.
Use Terraform to automate infrastructure provisioning and deployments.
Pipeline Monitoring & Reliability
- Implement monitoring, logging, and alerting mechanisms to ensure pipeline reliability and data quality.
Troubleshoot pipeline issues and optimize performance.
Architecture & Documentation
- Contribute to High-Level Design (HLD) and Low-Level Design (LLD) documents for data solutions.
Collaborate with architects, data scientists, and business teams to translate requirements into technical specifications.
Collaboration & Best Practices
- Work with cross-functional teams to integrate pipelines into broader data platforms.
- Follow best practices for code quality, version control, CI/CD, and security.
Required Skills & Experience
- Strong proficiency in PySpark and Python for data processing.
- Hands-on experience with GCP services: BigQuery, Cloud Functions, Pub/Sub.
- Infrastructure-as-Code expertise with Terraform.
- Experience in building, deploying, and monitoring large-scale data pipelines.
- Knowledge of data architecture and ability to prepare HLD and LLD documentation.
- Strong problem-solving skills and ability to work in agile environments.
Preferred Qualifications
- Experience in technologies such as Hadoop, Hive, kafka, snowflake, Matillion and AWS
- Knowledge of CI/CD pipelines (Jenkins, GitLab, Git Actions etc.).
- Familiarity with data governance, lineage, and security frameworks.
- Experience with containerization (Docker, Kubernetes) is a plus.
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