Senior Data Engineer - Python/SQL/ETL

Job Description :

We are looking for an experienced Senior Data Engineer with strong expertise in Google Cloud Platform (GCP) to design, develop, and maintain scalable data solutions. The ideal candidate should have hands-on experience in building robust data pipelines, optimizing data workflows, and collaborating with business and technical stakeholders to deliver data-driven solutions.

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines using GCP data engineering services.

• Build and optimize ETL/ELT processes for efficient data ingestion and transformation.

• Design and implement data models to support analytics and reporting requirements.

• Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

• Work closely with cross-functional teams to ensure seamless data integration and delivery.

• Monitor, troubleshoot, and optimize data pipeline performance and reliability.

• Ensure data quality, governance, and security best practices are followed.

• Support production deployments and resolve data engineering issues.

Required Skills & Experience :

• 6 to 9 years of experience in Data Engineering.

• Senior Data Engineer with strong hands-on experience.

• Strong hands-on expertise in Google Cloud Platform (GCP) data engineering technologies.

• Experience designing and implementing scalable data pipelines.

• Strong knowledge of ETL/ELT concepts and data integration.

• Experience working with structured and unstructured data.

• Ability to independently design, develop, and deliver end-to-end data solutions.

• Experience collaborating directly with business and technical stakeholders.

• Strong SQL and data modeling skills.

Preferred Skills :

• Experience with BigQuery, Cloud Storage, Dataflow, Dataproc, Pub/Sub, Composer, or Cloud Functions.

• Knowledge of Python or Java for data engineering.

• Experience with CI/CD and DevOps practices for data platforms.

• Familiarity with Agile development methodologies.

Key Competencies :

• Strong analytical and problem-solving skills.

• Excellent stakeholder management and communication skills.

• Ability to work independently and drive technical solutions.

• Strong attention to detail and commitment to data quality.

• Collaborative mindset with a focus on delivering business value.