Lead Data Engineer

1 miesiąc temu

Warsaw, Polska JPMorgan Chase & Co. Pełny etat

Join our digital bank, Chase, a trusted name in the US and rapidly growing in the UK. We're revolutionizing mobile banking with a start-up mentality, offering you the chance to make a significant impact. Our culture values diversity, fostering a team that truly represents the communities we serve. Our Data Engineering team is central to this mission, seeking curious, collaborative team members passionate about new technology. With a focus on specific products and projects, you'll have the opportunity to explore different areas based on your strengths and interests.

As a Lead Data Engineer at JPMorgan Chase within our Data Engineering team, you will be instrumental in our rapidly expanding digital banking sector. We prioritize diversity and cultivate a team environment that genuinely reflects the communities we serve. Your responsibilities will include implementing standard software solutions, designing, developing, and troubleshooting with a focus on specific products and projects. This role provides the opportunity to delve into various areas based on your strengths and interests.

Job responsibilities

Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of at least one programming language with limited guidance Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity  Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills for the development of secure, stable code and systems Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on computer science or STEM (science, technology, engineering or mathematics) concepts and proficient advanced experience. At least 5 years of recent hands-on professional experience (actively coding) working as a data engineer (back-end software engineer considered) Understanding of distributed systems and cloud technologies (AWS, GCP, Azure, Understanding of data streaming and scalable data processing frameworks (Kafka, Spark Structured Streaming, Flink, Beam Experience with SQL (any dialect) and Data tools (ie. Dbt) Experience in the all stages of software development lifecycle (requirements, design, architecture, development, testing, deployment, release and support) Experience with large scale datasets , data lake and data warehouse technologies on at least TB scale (ideally PB scale of datasets) with at least one of {BigQuery, Redshift, Snowflake} Experience in Infrastructure as Code (ideally Terraform) for Cloud based data infrastructure Good experience with using a JVM language (Java/Scala/Kotlin, preferably Java 8+) or extensive knowledge of Python Excellent written and verbal communication skills in English Willingness to work under employment contract on a hybrid model (60% per quarter from the office in Warsaw)

Preferred qualifications, capabilities and skills 

Experience with a scheduling system (Airflow, Azkaban, Understanding of (distributed and non-distributed) data structures, caching concepts, CAP theorem Understanding of security frameworks / standards and privacy Desired – experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines A solid approach to writing unit level tests using mocking frameworks, as well as automating component, integration and end-to-end tests Experience with containers and container-based deployment environment (Docker, Kubernetes,

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