Senior Data Engineer: Scalable ETL & Data Platforms

Cloud Analytics Technologies, LLC; Sunnyvale (CA); In loco; USD 150.000 - 230.000; Tempo pieno

Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking a Senior Data Engineer to design, build, and operate scalable data platforms for Wealth & Asset Management applications. You will own data ingestion, processing, storage, and governance across structured and unstructured sources.

You will implement ETL/ELT pipelines with Python and SQL, model data in PostgreSQL/AWS services (RDS, DynamoDB, S3), and support AI-enabled data solutions with quality, security, and cost optimization in mind.

Competenze

• 8+ years of experience in data engineering or related roles.
• Hands-on with Python and SQL.
• Experience with PostgreSQL, Amazon RDS, DynamoDB, and S3.
• Experience with ETL/ELT pipelines and data processing workflows.
• Knowledge of data quality, governance, security, and monitoring.
• Experience in large enterprise or regulated environments.

Mansioni

• Design and develop scalable data ingestion and ETL/ELT pipelines.
• Build solutions for structured, semi-structured, and unstructured data.
• Develop reusable data-processing components using Python and SQL.
• Design and support data models using PostgreSQL, Amazon RDS, DynamoDB, and S3.
• Support document ingestion and extraction using Amazon Textract, where applicable.
• Prepare and transform data for analytics, search, and AI-enabled use cases.
• Implement data quality, metadata, lineage, and governance controls.
• Ensure secure data access and encryption for sensitive information.
• Optimize pipelines for performance, reliability, and cost.
• Collaborate with cross-functional teams (application, AI, DevOps, architecture, cybersecurity).

Conoscenze

AWS

SQL

Distributed Computing

AWS Knowledge

Strumenti

PostgreSQL

Amazon RDS

DynamoDB

Amazon S3

Descrizione del lavoro

Cloud Analytics Technologies, LLC is seeking a Senior Data Engineer to design, build, and operate scalable data platforms for Wealth & Asset Management applications. You will own data ingestion, processing, storage, and governance across structured and unstructured sources.

You will implement ETL/ELT pipelines with Python and SQL, model data in PostgreSQL/AWS services (RDS, DynamoDB, S3), and support AI-enabled data solutions with quality, security, and cost optimization in mind.