Cloud/Big Data Engineer - Phoenix

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY is the only professional services organization with a separate business unit (FSO) that is dedicated to the financial services marketplace. Our FSO teams have been at the forefront of every event that has reshaped and redefined the financial services industry. If you have a passion for rallying together to address the most complex challenges in the financial services industry, come join our dynamic FSO team!

Data has yet to be utilized to its fullest potential. Financial institutions are looking to build smarter and more efficient ways to operate their business, through new opportunities uncovered by their data. Our clients look to us as trusted advisors to provide insights on how to ingest, interpret and manage their data. We focus on business intelligence, advanced analytics, and information management.

The opportunity

We provide constant room for growth through client engagements and personal development. Our practitioners develop and lead innovative data techniques and methods, supporting both business and technology leaders. This role provides the unique opportunity to build a professional network, tackle complex data issues, and drive cutting-edge approaches across industry-leading clients and domains. The experiences you gain here will be more valuable than anywhere else.

Your key responsibilities

You will be part of diverse teams of professionals across different geographies to deliver a wide range of data and analytics services. You will be addressing complex issues and driving growth across financial services.

Skills and attributes for success

• Fostering an innovative and inclusive team-oriented work environment
• Leading and coaching diverse teams of professionals with different backgrounds
• Demonstrating in-depth technical capabilities and professional knowledge
• Establishing strong relationships with the clients
• Working in an entrepreneurial environment to pave your own career path

To qualify for the role you must have

• A bachelor’s or master’s degree
• Around two or more years of related work experience in banking, capital markets, insurance or asset management
• Experience assisting clients with strategic Data Architecture/Integration or Big Data initiatives, preferably focused in financial services
• Strong experience in data architecture and integration technologies (ETL, data ingestion and distribution patterns, SQL, large data processing on distributed platforms, data warehousing)
• Hands-on experience with at least one major Hadoop platform (Cloudera, Hortonworks, MapR)
• Hands-on experience in developing or architecting Big Data applications using Hadoop and related technologies such as Spark, MapReduce, YARN, HDFS, Hive, Impala, Oozie, NoSQL, HBase, Elasticsearch, Cassandra, Flink, Flume, Splunk, etc.
• Hands-on experience working with at least one programming language and related technologies such as Java, Scala, Python, .NET and APIs
• Hands-on experience with streaming platforms and applications such as Spark Streaming, Kafka, Storm, etc.
• Hands-on experience with cloud-related technologies (such as AWS, Azure, Redshift, EMR, etc.)
• Strong written and verbal communication skills
• Strong analytical and problem-solving skills
• Ability to assimilate new knowledge
• Ability to understand business challenges and translate them into value add analytics solutions
• Excellent leadership and teaming skills
• A willingness and ability to travel to meet client needs; travel is estimated at 80%-90%
• Valid driver’s license in the US
• Valid passport

Ideally, you’ll also have

• A degree in computer science, engineering, accounting, finance or a related field; MBA or MS degree preferred
• Consulting experience