Lead Python Data Engineer

We seek a skilled Lead Python Data Engineer to join our team and help us build and maintain our data pipelines. As a Python Data Engineer, you will be responsible for designing, developing, and testing Python-based data pipelines and performing data cleansing, transformation and quality assurance.

Responsibilities

Design, develop, test and maintain Python-based data pipelines Write high-quality and maintainable Python code to migrate data between different storage systems with modifications Create ETL jobs, airflow operators, and Spark jobs to enhance data processing capabilities Implement Data Intake processes for Data Sources (ETL/ELT, DWH Modelling and Optimization) Perform data cleansing, transformation and quality assurance to maintain data integrity Optimize data processing, storage and retrieval to improve performance Collaborate closely with cross-functional teams to ensure data accuracy and consistency Requirements In-depth learning of Python programming with the ability to write maintainable and scalable code Strong understanding of distributed computation and multiprocessing Knowledge of data warehouse concepts and ETL processes Proficiency in working state machines, web back-end development, networking and protocols Experience with cloud computing platforms, such as AWS or GCP, and tools like Step Functions, Batch Knowledge of Spark, Hive, Databricks and other data processing frameworks Familiarity with data orchestration tools like Airflow Expertise in with SQL, NoSQL and cloud-based data storage solutions