Sr. Python Data Engineer

Our client is trying to find a really senior Python and Data Engineer with Asset Management or Investment domain experience.

Most of the rejected candidates experience leans more toward Python-based ETL development using traditional technologies rather than large-scale distributed data processing.

We should target candidates with strong proven expertise in PySpark and Databricks for this position.

Job Title : Python / Data Engineer

Location : Irvine or Los Angeles CA - onsite work is mandatory

Length : 6-12 months

Relocation is ok for candidates who can relocate from DAY 1.

Must have :

Strong working experience in python including Pandas numpy and FastAPI / Flask frameworks.

Good knowledge of cloud services preferably AWS.

Strong Database knowledge and be able to write and comprehend SQL queries.

Should have Graphql knowledge

Experience building API Calculation Engines batch and real time modules supporting web applications used by Trading or Portfolio management teams

Experience building real time applications for Structured Rates Corporate or Municipal Fixed Income Desk Experience with Python programming AWS Stack - EKS API Gateway Lamda Redis. Databases Postgress S3 technologies Integrating with market data providers like Bloomberg TradeWeb etc.

Should have worked on any ETL pipeline

10-12 years of Experience in Asset management or financial services industry

Strong communication skills capable to coordinate with various stakeholders

Nice to have :

Knowledge of JupyterLab (Good to have)

Knowledge of Apache Airflow or any Workflow management tool (Good to have)

Knowledge of DevOps is plus and good to have.

Strong learning mindset to learn and perform POC on new advanced technologies and services related to Data Science platforms..

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full Time

Experience : years

Vacancy : 1