GrepJob
Valtech

Cloud Engineer - GCP & Databricks

Valtech
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2 months ago
Bengaluru, IndiaSenior
H1B Sponsor

Responsibilities

  • Design GCP-native architectures using services such as BigQuery and Dataflow.
  • Build and maintain data pipelines following medallion architecture patterns.
  • Implement infrastructure as code using Terraform.
  • Define and apply GCP landing zone standards.
  • Develop end-to-end Lakehouse solutions on Databricks.
  • Write and optimize PySpark and SQL workloads.
  • Configure Databricks clusters and manage job scheduling.
  • Advise clients on Databricks platform adoption.
  • Lead technical workshops and requirements-gathering sessions.
  • Produce high-quality client-facing deliverables.
  • Present solution designs to client stakeholders.
  • Manage technical dependencies and risks across delivery workstreams.
  • Participate in sprint ceremonies within Agile frameworks.
  • Implement data quality frameworks using various tools.
  • Support data catalogue initiatives and metadata management.
  • Ensure GDPR compliance in solution design.
  • Contribute to internal knowledge-sharing initiatives.
  • Stay current with GCP and Databricks product roadmaps.

Requirements

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 6+ years of hands-on experience in cloud data engineering or GCP roles.
  • Google Cloud Professional Data Engineer or Cloud Architect certification.
  • Databricks Certified Associate Developer for Apache Spark or Data Engineer certification.
  • Advanced SQL skills with BigQuery.
  • Experience with Cloud Storage, Cloud Functions, and Cloud Run.
  • Proficiency in Dataflow for batch and streaming pipelines.
  • Familiarity with Cloud Composer and Airflow.
  • Experience with Pub/Sub for event-driven architectures.
  • Knowledge of IAM, VPC, and Org Policies for security.
  • Experience with Terraform for infrastructure as code.
  • Proficiency in PySpark and SQL for data engineering.
  • Familiarity with Git and version control practices.
  • Basic knowledge of Docker and REST API integration patterns.

Benefits

  • Flexibility with remote and hybrid work options.
  • Career advancement opportunities with international mobility.
  • Access to cutting-edge tools and training for learning and development.

Tech Stack

Apache AirflowApache BeamDatabricksdbtDockerGitGoogle BigQueryGoogle Cloud PlatformMLflowPythonSQLTerraform

Categories

AI & MLData EngineeringData ScienceDevOps