Senior Data Engineer with GCP

• 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.

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.

,[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: GCP, BigQuery, IAM, Terraform, Infrastructure as Code, Apache Spark, PySpark, Apache Airflow, SQL, Git, CI/CD, GitHub Actions, Communication skills, Scala, Java, BI, Data visualization