Description

You will build and maintain scalable data pipelines within the Google Cloud ecosystem, ensuring data accuracy and operational stability.

This role is on-site.

Responsibilities

• Design and develop data pipelines for ingestion, transformation, and loading into GCP services including BigQuery, Dataflow, DataProc, Pub/Sub, and Storage.
• Capture and process change data from various sources using Debezium and Apache Flink.
• Implement data quality checks and procedures to ensure accuracy and consistency across datasets.
• Automate data processing tasks using Python, Bash, or PowerShell scripting.
• Monitor and troubleshoot pipelines to resolve technical issues and ensure stability.

Required Skills

• 5+ years of experience building and operationalizing large-scale enterprise data solutions on GCP.
• Mandatory proficiency in Python development.
• 3+ years of experience with ETL processes, data pipelines, and data warehousing concepts.
• Expertise in Debezium and Apache Flink for change data capture (CDC).
• Strong understanding of Oracle databases.
• Proficiency in SQL and relational databases.
• Experience with Spark, Hive, Cloud DataProc, Cloud Dataflow, Apache Beam, Composer, BigTable, Cloud BigQuery, Cloud Pub/Sub, Cloud Storage, Cloud Functions, and GitHub.
• Google Cloud Certified Professional Data Engineer or equivalent certification.
• Knowledge of data security best practices.

Preferred Skills

• Experience with Oracle GoldenGate.
• Familiarity with data modeling concepts and tools.
• Experience with Git, Docker, or Kubernetes.

Key Skills

Education

Any Graduate