Highly Skilled Data Engineering Expert
2 days ago
We are seeking a highly skilled Senior Data Engineer to join our team at Lextegrity, a global leader in the digital transformation of corporate risk management. As a key member of our data platform group, you will play a crucial role in enabling efficient data to support our risk analytics engine that works to identify fraud, bribery, and corruption.
About Us
Lextegrity was founded in 2017 by veteran legal and audit professionals with decades of experience in addressing corporate fraud. Our software solutions address this key problem: organizations lose 5% of their annual revenues to fraud, yet most companies struggle with embedding compliance policies into real-time business practices. Our integrated platform combines continuous spend monitoring of data from systems like SAP, Oracle, and Concur with workflow automation tools to prevent and detect economic crimes.
Your Role
You will work closely with implementation teams, data scientists, and product stakeholders to evolve our unique product. Your primary responsibilities will include building scalable batch data processing frameworks for processing data through analytical transformations, creating foundational data to support machine learning models, and implementing models in production. You will also monitor and improve the performance of data pipelines and database queries, as well as monitor and debug data quality issues.
Qualifications
To be successful in this role, you should have extensive experience working heavily with Python, SQL, Apache Airflow, Snowflake, AWS services (RDS, EMR, S3), Git/GitHub, Spark (PySpark), and more. You should have a strong Python skillset, including advanced proficiency in Python for data engineering, experience designing and executing complex data models and ETL processes in Snowflake, and knowledge of integrating Python applications with cloud services and data orchestration tools. Additionally, you should have built multiple batch data processing pipelines to extract, transform/load, load/transform data, designed/written data models and ETL using Snowflake as the data warehouse, worked extensively with AWS services (RDS, EMR, S3), and experience with Spark (with PySpark) is a plus.
Benefits
We offer a range of benefits, including flexible working conditions and the ability to work remotely, flexible PTO – we trust you, work for one of the fastest-growing companies with some of the most talented people in the industry, a transparent and collaborative team environment, medical, dental & vision coverage, FSA, HSA, life insurance, short-term and long-term disability insurance, stock options, and a 401K matching program. We are an equal opportunity employer and prohibit discrimination on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
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