Full Stack Developer - Data Engineering

Key Skills

JavaScript, Java Programming, Analytical and Problem solving, Design of Experiment, Python Programming, Apache, Framework, SQL, Apache Kafka, OLAP, SPARK Programming

Job Description

The Data Engineering organization aims to make data a strategic asset for the enterprise by providing a platform that enables the structuring, management, integration, control, discovery, usage, and governance of our Data Assets. Within Data Engineering the Client Data Engineering team is responsible for capturing/modelling & distributing a consistent view of client data across the firm.

The team leverages a wide variety of cutting edge technologies including Java, JavaScript, Spark, Apache Flink, Kafka, SQL, and OLAP platforms.

Across the team we have various projects that aim to

• curate, design and catalog high quality data models for reliable data access
• build highly scalable data processing logic for use across a wide range of data sets and applications
• build tooling to support the maintenance of the curated data sets & maintain data quality
• provide data-driven insight and decision-making critical to GS’s business processes

In addition to technical skills, it is important the candidate has an interest in understanding existing and potential data sets from both an engineering and business context.

Full Stack Engineer Role

This role is within the client data curation application team, which specifically targets client reference data curation, management tooling and distribution across the wider organization. The core of the application is built around modern services framework, and web-based UI. It is a global team, and nearly all deliverables require close working with global team members. Even though the role is highly technical, to succeed within the organization it is important to have an interest understanding the data, and utilization patterns.

HOW WILL YOU FULFILL YOUR POTENTIAL

• Build & deploy modern data management tools to curate key client reference data sets, models and workflows
• Identify areas for process automation and further efficiencies
• Evaluate, select and acquire new internal & external data sets that contribute to business decision making
• Engineer data processing pipelines
• Partner with data platform teams to adopt cloud based processing pipelines & data distribution
• Engage with data consumers and producers in order to design appropriate models to suit all needs
• Practice sustainable incident response

BASIC QUALIFICATIONS/EXPERIENCE

• 3-5 years of hands on development experience(Java/Full stack) with exposure to the full software development life cycle
• Familiar with design patterns, domain driven design and other software development best practices
• Experience with JavaScript and at least one web application framework (React/Angular)
• Relational database experience (e.g. Sybase, UDB) and/or ORM frameworks.
• Strong analytical and problem solving skills
• Strong work ethic, a sense of ownership and urgency
• Excellent communications skills(written & oral) and the ability to work with subject matter experts
• Independent thinker, willing to engage, challenge or learn
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Strong team player, required to work extensively with other teams both locally and globally

PREFERRED QUALIFICATIONS

• Data visualization & data modelling experience.