Lead Data Engineer
Bucharest - 1A Poligrafiei Boulevard
PwC
We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.Job Description & Summary
We are seeking an experienced Lead Data Engineer with a profound understanding of banking data and extensive experience in data engineering. The ideal candidate will have hands-on experience with PySpark and Scala Spark, and significant prior experience working with the Quantexa platform. Familiarity with cloud environments is also essential.Responsibilities:
Lead the design, development, and maintenance of robust and scalable data processing pipelines using PySpark and Scala Spark;
Collaborate with cross-functional teams to define, design, and implement new features;
Cleanse, parse, and standardize global datasets;
Perform data classification and entity extraction/resolution;
Optimize and improve data processing performance through big data testing;
Utilize pre-packaged code for processing and utilizing third-party data sources;
Ensure data quality and integrity through efficient data manipulation;
Deploy updates and fixes, build and maintain highly available systems;
Implement and improve monitoring and alerting;
Perform root cause analysis for production errors and investigate/resolve technical issues;
Work in an Agile environment and contribute to the continuous improvement of our development processes;
Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.
Requirements:
Bachelor’s degree in Computer Science, Engineering, or a related field;
At least 6 years of hands-on experience in data engineering;
Profound understanding of banking data and related processes;
Solid experience with big data technologies like PySpark and Scala Spark;
Hands-on experience with the Quantexa platform for more than 3 years is a must;
Prior experience working with cloud environments;
Familiarity with Agile development methodologies;
Strong problem-solving skills and attention to detail;
Excellent communication and teamwork abilities;
Experience with provisioning software/frameworks like Elasticsearch, Spark, Hadoop, PostgreSQL;
Knowledge of containerization technologies like Docker and orchestration tools like Kubernetes;
Experience working with the Spring Boot Java framework.
We offer:
Interesting career development options and challenging assignments for top Romanian and international clients;
International mobility and short/medium-term projects abroad;
A professional and team-oriented work environment;
Great colleagues to work with;
Up-to-date technologies and methodology;
Professional development and training opportunities in Romania and abroad.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Banking Big Data Classification Computer Science Data quality Docker Elasticsearch Engineering Hadoop Java Kubernetes Pipelines PostgreSQL PySpark Scala Spark Testing
Perks/benefits: Career development
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