EY GDS Mexico - Data Engineering

Data Engineer (Azure, AWS)    As part of our AI & Data team, you will help clients use various methods to transform raw data into useful data systems. You will align data systems with business goals. You must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The ideal candidate should have 3-5 years of experience, Data Engineering, AZURE Cloud, Advanced SQL, Advanced Phyton programming, ETL and ELT Process knowledge, Data structures knowledge, MPP Databases (Teradata, Snowflake), Blob Storage, Azure Data Lake Storage, AZURE cloud. The Data Engineer will interact with different members of the team such as database architects, data analysts, and data scientists on data initiatives and ensure optimal data delivery architecture is consistent with business strategy. Our clients usually have theirs headquarters on USA, however they span across multiple industries, regions, and countries.  The opportunity     We are looking for Senior Data Engineer with expertise in developing and managing data pipelines, implementing complex stored procedures and best practices with data warehouse and ETL concepts, deploy fully operational data warehouse solutions into production. This is a fantastic opportunity to be part of a leading firm whilst being instrumental in the growth of a new service offering.    Your key responsibilities  • Design and Develop batch and streaming data processing  • Build data systems and pipelines.  • Evaluate business needs and objectives.  • Prepare data for prescriptive and predictive modeling.  • Build prototypes.  • Combine raw information from different sources.  • Explore ways to enhance data quality and reliability.  • Identify opportunities for data acquisition.  • Monitor and optimize data storage and data processing  • Design and implement data security    Skills and attributes for success    • 3-5 years of experience on Azure Data Factory  • 3-5 years of experience on Databricks / Synapse  • Experience on processing real time data.  • Advanced knowledge on processing large amounts of data (billions of records)  • 3-5 years of advanced knowledge on SQL, phyton programming, ETL and ELT Process.  • Advanced knowledge on data structures, MPP Databases, Blob Storage.  • 3-5 years of experience on AZURE storage (Blob, ADLS)  • Previous experience as a data engineer or in a similar role.  • Data engineering certification (AZURE Certified Data Engineer) is a plus.  • Flexible and adaptable; able to work in ambiguous situations.  • Able to work effectively at all levels in an organization.    What working at EY offers     At EY, we’re dedicated to helping our clients, from world’s top companies and the work we do with them is as varied as they are.  You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange.     About EY     As 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. And with a commitment to hiring and developing the most passionate people, we’ll make  our ambition to be the best employer by 2020 a reality.     If you can confidently demonstrate that you meet the criteria above, please