Client Technology Db - Miguel Hidalgo, México - EY

Empresa verificada

Miguel Hidalgo, México

hace 3 semanas

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

Job Title:

Senior Data Engineer - Client Technology Platform

Job Rank (must note a single rank only for each job description):
Assistant Director

Function:

CT - Shared Business Platforms

Scope (indicate either "global/cross-border" or "local/country"):
Global

Sub Function:

Data and Analytics

Reports to (Job Title):

Job Summary:
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.

Key Responsibilities:

Leading the production of highquality data engineering deliverables, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team
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 the delivery of data quality reviews including data cleansing where required to ensure integrity and quality
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 longterm)
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:

Data Extraction
Capability to design an efficient way of extracting high volumes structured and unstructured data with an automation CDC capability.

Data Ingestion

Capability to design efficient ingestion strategy for batch processing as well as stream processing of all verity of source data that produces on the transactional systems as fast as it is.

Data Processing

Capability to design and implement models, capabilities and solutions to process data within the enterprise (data validation, data quality, data profiling, etc.).

Data Modeling

Capability to designs, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modelling standards to ensure high quality.

Data Store

Capability to designs data storage models, storage requirements and migration of data from one system to another.

Data Consumption

Capability to designs data consumption mechanism with APIs, Virtualization and Visualization tools.

Data Governance

Capability to designs an governance mechanism including data catalogue, lineage, classification, MDM, exploration.

Technical/Functional skills:

Expert in Big Data technologies such as Microsoft Big Data stack, Azure databricks, Synapse, Azure Data Lake Store, Azure EventHub, Service bus, Azure Stream Analytics, Kubernetes, API management.
Experience in building data orchestation through Azure Data Factory, Function App, Logic App.
Experience in data processing languages such as Scala, PySpark and Python, SQL
Experience in data wearhouse and data analytics using SQL queries and other analytics tool like Alteryx.
Experience in DataBricks Spark, DeltaLake, LakeHouse
Experience in.

Net core, Active Directory and Angular framework.