Description
About the role
Are you a Principal Data Engineer with a passion for big data? Do you keep up to date with cutting-edge technologies within D&A?
If so, then you have a fantastic opportunity to join a multi-disciplinary team of engineers, architects, designers, and strategists as we continue to grow our Data & Analytics practice across Europe.
Were looking for a Principal Data Engineer with Azure, Databricks and PySpark to join our team in London. The ideal candidate will have a strong background in data engineering, extensive experience with Azure cloud services, and experience leading a technical team on the implementation.
Responsibilities
Lead, mentor and manage a team of Azure data engineers Drive the team's technical execution Collaborate with cross-functional teams including data scientists, analysts and business stakeholders ensuring a quality single version of truth Passionate engineer, very keen on building end to end pipelines to support enterprise-wide analytics Design, develop and implement scalable and secure data lake solutions on Azure Ensure best practices in data engineering, data integration and ETL processes Prepared to code complicated aspects of our pipeline Ensure the ongoing maturity of our SVOT framework Monitor performance and scalability of the SVOT platform updating the framework and code to ensure the business has highly available accessible productRequirements
Minimum of 8 years of experience in data engineering At least 5 years of hands-on experience with Azure data services (Apache Spark, Azure Data Factory, Synapse Analytics, RDBMS experience (prefer SQL Server) Proven experience in leading and managing a team of data engineers Proficiency in programming languages specifically PySpark, Python (with Pandas if no PySpark), Continuous Integration (DevOps, PRs, Branching), T-SQL & SparkSQL Strong understanding of data modeling, ETL processes and data warehousing concepts Knowledge of CI/CD pipelines and version control (e.g., Git) Excellent problem-solving and analytical skills Strong communication and collaboration abilities Ability to manage multiple projects and meet deadlines Certifications in Azure (e.g., Microsoft Certified: Azure Data Engineer Associate, Azure Solutions Architect)Nice to Have
Hands-on experience with Scala for Apache Spark Knowledge or experience working with other Clouds such as AWS or GCPOur Benefits Include
A competitive group pension plan and protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Cyclescheme, Techscheme and season ticket loans Employee assistance program Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions and much more EPAM Employee Stock Purchase Plan (ESPP) Various perks such as gym discounts, free Wednesday lunch in-office, on-site massages and regular social events Certain benefits and perks may be subject to eligibility requirements and may be available only after you have passed your probationary periodAbout EPAM
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potentialThe latest news, articles, and resources, sent to your inbox weekly.
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