Senior Data Engineer

Job Description

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 design and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for large or more complex projects, using advanced technical capabilities
• Takes accountability for the production of a suite of data models with relatively high complexity, leveraging a strong understanding of data modelling standards to ensure high quality
• Works with other departments across the business to help define and deliver business value, as well as interfacing and communicating with program teams, management and stakeholders to deliver large, complex projects

Your key responsibilities include

• Leading the design, development and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes within a given project, reviewing deliverables to ensure high quality
• Leading translation of requirements, design and solution architecture deliverables into detailed design specifications
• Evaluating and resolving issues regarding data quality reviews, cleansing, data integration and migration, leveraging advanced technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement efforts
• Providing a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the project
• Analyzing the latest industry trends such as cloud computing and distributed processing and inferring potential impact on businesses (short and long-term)
• Providing advanced technical expertise to maximize efficiency, reliability and value from current data engineering processes. Researching and monitoring existing client base and industry developments to identify potential new product opportunities from emerging technologies
• Developing strong working relationships with peers across engineering, collaborating to develop leading data engineering solutions
• Driving adherence to the relevant data engineering and data modeling processes, procedures, standards, and may input into the definition, maintenance and implementation of technology 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
• 10+ years of business and data analysis experience, with familiarity of modern, commercial business processes including supply chain commercial data exchange, internal and external reporting requirements (operational, management, financial, tax and supervisory), financial auditing processes, etc.
• 5+ years data modeling experience, including managing data models and stores
• Working knowledge of industry standard data models and open data standards
• Experience in managing enterprise data assets in a large, complex organization(s)
• Hands on experience with use of visual notations for expressing logical and physical data models, state transitions, transformation and versioning, ideally also data flows and business processes. Including UML, DPMN, ERDs, etc.
• Understanding of Data Taxonomy and Information Science concepts including Ontology
• Solid development experience in Core Java
• Expertise working with Hadoop Distributions, preferably Hortonworks or Cloudera
• Expertise working with On-premises and 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, preferably using Java
• Kafka, Spark integration with Kafka
• Experience using Apache Ranger, Apache Atlas
• Hadoop Architecture
• Creating Ingestion workflows using Oozie or similar tools
• Experience using NoSQL databases, preferably MongoDB
• Knowledge of security measures like HTTPS and Kerberos
• Advanced knowledge of Hadoop Cluster sizing

Beneficial Technical Skills

• Knowledge in Graph Databases, preferably Neo4J and Cypher
• Neo4J Data Modeling
• Azure Data Lake Store, Databricks Delta
• Spark ML
• Experience developing Microservices
• Scala Programming Knowledge

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 honestyWhat working at EY offersWe 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.About EYAs a global leader in assurance, tax, transaction and advisory services, we re using the finance products, expertise and systems we ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.Make your mark. Apply now.,

Keyskills :
emailcontent managementdata scienceanalyticsdata modelsopen datadata qualitydata analysissqlsupply chainapachestatements of work sow