Sr Data Engineer

📋 Description

• Design, build, implement, and maintain data processing pipelines for the extraction
• Develop robust and scalable solutions that transform data into a useful format for analysis
• Lead the writing of complex SQL queries to support analytics needs.
• Develop technical tools and programming that leverage artificial intelligence, machine learning
• Evaluate and recommend tools and technologies for data infrastructure and processing.
• Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders

🎯 Requirements

• Deep expertise in Python, SQL, and distributed processing frameworks like Apache Spark, Databricks
• Proven experience with cloud-based data platforms (preferably AWS or Azure).
• Hands-on experience with data orchestration tools (e.g., Airflow, dbt) and data warehouses (e.g.
• Strong understanding of data security, privacy, and compliance within a financial services context.
• Experience working with structured and semi-structured data (e.g., Delta, JSON, Parquet, Avro) at
• Familiarity with modelling datasets in Salesforce, Netsuite and Anaplan to solve business use cases

🎁 Benefits

• $95K – $135K annual salary