Senior Big Data Engineer

A detail-oriented and innovative big data engineer specializing in cloud-based ETL, data analytics, and distributed computing. Expert in leveraging Azure, AWS, and Spark to transform raw data into meaningful business insights.

Professional Summary

A highly skilled data engineering professional with extensive experience in data migration, pipeline development, and analytics. Proficient in Spark, PySpark, Hadoop, and cloud-based big data processing, ensuring high-performance and scalable data solutions. Adept at optimizing data workflows, integrating APIs, and supporting regulatory compliance through structured data management.

Technical Skills

• Big Data & ETL: Spark, PySpark, Airflow, Apache Flink, Snowflake
• Cloud Platforms: AWS, Azure Data Factory, Databricks, Synapse, Delta Lake
• Programming & Databases: Scala, Python, SQL, PostgreSQL, MongoDB
• Automation & DevOps: Terraform, Kubernetes, CI/CD Pipelines

Projects of Interest

• Cloud-Based Data Engineering & ETL Pipelines
• Real-Time Data Processing & Analytics
• Contract only

Location

United Kingdom

Language Proficiency

• English (Fluent)

Rates

Please call +44-20-4506-3614

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