Senior Data Engineer with GCP

We are looking for an experienced Data Engineer to support a data platform modernization project involving the migration of existing on-premise solutions to Google Cloud Platform.

The role includes designing and optimizing data pipelines, defining technical solutions, and collaborating with engineers, architects, and business stakeholders to ensure a smooth migration.

Daily tasks

• Design and implement data pipeline migration from on-premise environments to GCP.
• Analyze existing workflows and recommend improvements and cloud-native solutions.
• Collaborate with engineers and architects on technical design and implementation.
• Develop and optimize data processing solutions using Spark, PySpark, and Airflow.
• Estimate workloads and report delivery progress and potential risks.
• Work with business stakeholders to clarify requirements and recommend suitable technical solutions.

Requirements

• Hands-on experience with GCP, particularly BigQuery, IAM, Dataproc, and GCS.
• Knowledge of Terraform and Infrastructure as Code.
• Strong experience with Apache Spark and PySpark (3.5).
• Experience with Apache Airflow (3.x).
• Good SQL skills and experience with data transformation.
• Familiarity with Git, CI/CD, and GitHub Actions.
• Ability to translate business requirements into technical solutions.
• Strong analytical and communication skills.
• Proactive, collaborative approach and fluent English.

Nice to Have

• Experience with Scala or Java.
• Familiarity with BI and data visualization tools.
• Previous experience in banking or financial services.

Must have: GCP, BigQuery, IAM, Terraform, Infrastructure as Code, Apache Spark, PySpark, Apache Airflow, SQL, Git, CI/CD, GitHub Actions, Communication skills

Nice to have: Scala, Java, BI, Data visualization