Data Engineer I

Job description

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

The selected candidate

·  Leads the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities
·  Designs, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modeling standards to ensure high quality
·  Builds networks with other departments across the business to help define and deliver business value, and may interface and communicate with program teams, management and stakeholders as required to deliver small to medium-sized projects

Your key responsibilities include

·  Leading the production of high-quality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
·  Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality
·  Leading the delivery of data models, data storage models and data migration to manage data within the organization, for a small to medium-sized project
·  Resolving escalated design and implementation issues with moderate to high complexity
·  Analyzing the latest industry trends such as cloud computing and distributed processing and beginning to infer risks and benefits of their use in business
·  Providing technical expertise to maximize value from current applications, solutions, infrastructure and emerging technologies and seek to continuously improve internal processes
·  Developing working relationships with peers across other engineering teams and beginning to collaborate to develop leading data engineering solutions
·  Driving adherence to the relevant data engineering and data modeling processes, procedures and standards

Skills and attributes for success

·  Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period of time ​
·  Data Integration (Sourcing, Storage and Migration) - Capability to design and implement models, capabilities and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.).  This includes the data models, storage requirements and migration of data from one system to another​
·  Data Quality, Profiling and Cleansing - Capability to review (profile) a data set to establish its quality against a defined set of parameters and to highlight data where corrective action (cleansing) is required to remediate the data ​
·  Stream Systems - Capability to discover, integrate, and ingest all available data from the machines that produce it, as fast as it’s produced, in any format, and at any quality​

Required Technical Skills

·  Experience designing and building Data Platforms integrating disparate data sources
·  Knowledge of Core Java/Scala
·  Expertise in Data Architecture, ETL, SQL
·  Expertise working with Hadoop Distributions, preferably Hortonworks or Cloudera
·  Knowledge of Cloud Platforms, preferably Azure
·  Expertise developing dataflows using NiFi
·  Advanced, hands-on design and implementation experience using Hive
·  Advanced, hands-on experience in Spark architecture and implementation
·  Experience in working with Distributed Message Systems like Kafka
·  Experience using Apache Ranger, Apache Atlas
·  Hadoop Architecture
·  Creating Ingestion workflows using Oozie or similar tools
·  Knowledge of security measures like HTTPS and Kerberos

Beneficial Technical Skills

·  Experience using NoSQL databases, preferably MongoDB
·  Advanced Analytics, ML and AI
·  Knowledge in Graph Databases, preferably Neo4J and Cypher
·  Neo4J Data Modeling
·  Azure Data Lake Store, Databricks Delta
·  Experience developing Microservices

Education

·  M.S. Computer Science, Data Analytics, Data Science, Engineering, IT, or related field preferred
·  Big Data Certification from either Cloudera/Hortonworks/Databricks
·   

What we look for

·  Strong analytical skills and problem-solving ability
·  A self-starter, independent-thinker, curious and creative person with ambition and passion
·  Excellent inter-personal, communication, collaboration, and presentation skills
·  Customer focused
·  Excellent time management skills
·  Positive and constructive minded
·  Takes responsibility for continuous self-learning
·  Takes the lead and makes decisions in critical times and tough circumstances
·  Attention to detail
·  High levels of integrity and honesty

What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

        

·  Support, coaching and feedback from some of the most engaging colleagues around
·  Opportunities to develop new skills and progress your career
·  The freedom and flexibility to handle your role in a way that’s right for you

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.