25 ene
Ernst & Young Advisory Services Sdn Bhd
Xico
Data and Analytics - Azure Data Engineer - Senior - EY GDSOther locations: Primary Location Only
Date: Jan 16, 2025
Requisition ID: 1516437
As part of our EY-GDS-DnA Consulting 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 in Data Engineering, KAFKA, Advanced SQL, Advanced Python programming, Spark, ETL and ELT Process knowledge, Data structures knowledge, MPP Databases (Teradata, Snowflake), Blob Storage, Azure Data Lake Storage, and AZURE cloud.
The opportunity
We are looking for a Senior Data Engineer with expertise in developing and managing Kafka-based data pipelines, implementing complex stored procedures, and best practices with data warehouse and ETL concepts, deploying fully operational data warehouse solutions into production on Snowflake to join our GDS Mexico team.
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 processingBuild data systems and pipelinesEvaluate business needs and objectivesPrepare data for prescriptive and predictive modelingBuild algorithms and prototypesCombine raw information from different sourcesExplore ways to enhance data quality and reliabilityIdentify opportunities for data acquisitionMonitor and optimize data storage and data processingDesign and implement data securitySkills and attributes for success:
3-5 years of experience on Apache Kafka, Kafka stream,
AZURE Event Hub3-5 years of experience on processing real-time dataAdvanced knowledge on processing large amounts of data (billions of records) in minutesDeep knowledge on producers (ACK/NACK), consumers, and brokersDeep knowledge on topics, partitions, and segments3-5 years of advanced knowledge on SQL, Python programming, ETL and ELT ProcessAdvanced knowledge on data structures, MPP Databases, Blob Storage3-5 years of experience on AZURE Data Lake Storage (Teradata, Snowflake), AZURE cloudPrevious experience as a data engineer or in a similar roleData engineering certification (AZURE Certified Data Engineer) is a plusFlexible and adaptable; able to work in ambiguous situationsAble to work effectively at all levels in an organizationMust be a team player and able to work collaboratively with and through othersMust like to learnTo qualify for the role, you must have:
Bachelor's in technology or engineering or similarExperience working with Azure, Snowflake technologiesIdeally, you'll also have:
Familiarity with agile methodologiesFamiliarity with software such as Jira or ADOWhat we look for:
A team of people with technical experience and enthusiasm to learn new things in this fast-moving environmentOpportunities to work with EY GDS DnA Consulting practice globally with leading businesses across a range of industriesWhat working at EY offers:
Support, coaching, and feedback from some of the most engaging colleagues aroundOpportunities to develop new skills and progress your careerThe freedom and flexibility to handle your role in a way that's right for youAbout 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 a reality.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
Join us in building a better working world.
Apply now
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