Position: Data Engineer
Company: Clicca.agency
Experience required: 3y
English level: upper

**About the company:** Company is the leading provider of AI-based Big Data analytics. 
Our client is dedicated to helping financial organizations combat financial cybercrimes such as money laundering and fraud facilitating malicious crimes such as terrorist financing, narco trafficking, and human trafficking which negatively impact the global economy.  

**Requirements:**
— 3+ years of experience as a data engineer/big-data developer.
— Experience in writing code in Python and Pyspark.
— Experience in defining and implementing feature engineering processes for ML based products       
— BSc/BA in Mathematics, Physics, Computer Science, Economics or another related field.
— Experience with building solutions with Big Data tools and frameworks such as Spark, Hadoop, etc.
— Experience working with and optimizing ‘big data’ data pipelines, architectures and data sets.
— Experience in developing machine learning oriented solutions for the financial sector - advantage
— Experienced with deep/machine learning framework such as TensorFlow/Keras/Sklearn - advantage
— Experience in NLP - an advantage.
— Great communication skills.
— Ability to quickly learn new technologies, frameworks, and algorithms.
— Very good English, written and verbal.
 
**Responsibilities:** as Lead Data Engineer, you will participate in the implementation team and perform the tasks set by the team leader. Client’s Intuitive AI solutions for Anti Money Laundering and Fraud Detection enable clients to manage risk, detect money laundering schemes, uncover fraud, expose bad loans, uncover operational issues, and reveal valuable new growth opportunities. Working on a project from scratch

**Tasks:**
— Develop ML focused solutions for the financial sector using best-of-breed tools combining  unique algorithms with frameworks such as spark, MLflow, Airflow, etc. in cloud native environments.
— Participate in research and technology innovation to develop more efficient and automated ways to handle ML/DL workloads.
— Participate in new product/feature definitions and implementation
— Work mostly with Python/Spark on Kubernetes environments.

**We offer:**
— Remote work;
— Competitive salary;
— Performance review once a year;
— Work schedule Sunday - Thursday; 
— Relocate is possible;
— Accountant's help.

**Are you interested? Please contact us**