Key Responsibilities :
- Develop and maintain automation scripts and backend services using Python .
- Write complex SQL queries to extract, transform, and analyze data across cloud databases (e.g., BigQuery).
- Design and implement data pipelines and workflows on Google Cloud Platform (GCP) using services like Cloud Functions , Cloud Storage , Pub / Sub , and BigQuery .
- Manage jobs, logs, and process monitoring in Unix / Linux environments .
- Collaborate with DevOps, data analysts, and other developers to support scalable cloud-based architectures.
- Participate in troubleshooting and resolving data or system issues in production.
- Document system designs, processes, and operational procedures.
Mandatory Skills :
Proficiency in Python for scripting and backend developmentStrong understanding of SQL , with experience in data extraction and transformationHands-on experience with Google Cloud Platform (GCP) services such as BigQuery , Cloud Functions , and Cloud ComposerSolid experience with Unix / Linux command-line tools and scripting (e.g., Bash)Desirable Skills :
Familiarity with Cloud IAM , service accounts , and GCP security best practicesExperience with data pipeline orchestration tools (e.g., Apache Airflow, Cloud Composer)Version control using GitExposure to Docker , CI / CD pipelines , or Terraform for GCPKnowledge of monitoring tools like Stackdriver, Prometheus, or GrafanaSkills Required
Sql, Unix, Linux, Git, Docker