EY Data Engineer in Nashville, Tennessee
Requisition # NAS000LX
Post Date Oct 02, 2018
The Data Engineer - Production is a seasoned data engineer responsible for building and maintaining the state-of-the-art data pipelines that make our data accessible to the tax data platform spanning multiple sub-service lines. He/she will work closely with Process Owners, Data Stewards, Product Managers, DBAs and other key parts of the business across the globe to understand data requirements and build appropriate solutions that meet or exceed those needs.
We are looking for someone who has:
1-2 years of customer-facing experience in data services or consulting
5 years of relevant work experience in data
Ability to write, analyze, and debug SQL queries
Experience in the Big Data space (Hadoop Stack like M/R, HDFS, Pig, Hive, etc.)
Knowledge of data modeling for both data warehousing and Big Data
Experience in engineering large-scale distributed systems in a production environment
Experience with an OO programming language like Java a bonus
Experience working with RESTful APIs.
Experience working on big data pipelines.
Strong data engineering experience.
Strong scripting experience using Python/Perl/R.
Implementing ETL processes in a big data environment
Integrating Big Data tools and frameworks required to provide requested capabilities
Monitoring performance and advising any necessary infrastructure changes
To qualify, candidates must have:
Management of big data clusters, with all included services
Ability to solve any ongoing issues with our big data platform
Proficiency with Hadoop v2, MapReduce, HDFS, HDI
Good knowledge of Big Data querying tools, such as Pig and Hive
Experience with integration of data from multiple data sources
Experience with the Azure or AWS stacks
Experience with NoSQL databases, such as HBase, Cassandra, MongoDB
Knowledge of various ETL techniques and frameworks
Experience with various messaging systems, such as Kafka a plus
Experience with Big Data machine learning toolkits a plus
Minimum of 8-10 years of relevant work experience
An advanced degree in Computer Science or a related discipline, or equivalent work experience
Ernst & Young LLP, an equal employment opportunity employer (Females/Minorities/Protected Veterans/Disabled), values the diversity of our workforce and the knowledge of our people.