Data Engineer - Technology Consulting - Financial Services Office - Manager - Mult Pos - 1512597
Dallas, TX, US, 75219
Full Time Mid-level / Intermediate USD 144K+
EY
EY provides consulting, assurance, tax and transaction services that help solve our client’s toughest challenges and build a better working world for all.Data Engineer, Technology Consulting, Financial Services Office (Manager) (Multiple Positions) (1512597), Ernst & Young U.S. LLP, Dallas, TX.
Collaborate to deliver solutions utilizing leading big data platforms and cloud technologies (e.g., Azure, Databricks, GCP, Cloudera, etc.). Assess the merits of different technology solutions (e.g., cloud native vs. cloud agnostic) to make recommendations. Study and transform data science prototypes into production-ready systems with large volume data requirements. Design and implement solutions for data aggregation, improve data foundational procedures, integrate new data management technologies and software into the existing system and build data collection pipelines.
Manage and motivate teams of professionals with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.
Full time employment, Monday – Friday, 40 hours per week, 8:30 am – 5:30 pm.
MINIMUM REQUIREMENTS:
Must have a Bachelor’s degree in Computer Science, Mathematics, Engineering, Electronics Communications & Engineering or a related field and 5 years of progressive, post-baccalaureate work experience. Alternatively, will accept a Master’s degree in Computer Science, Mathematics, Engineering, Electronics Communications & Engineering or a related field and 4 years of work experience.
Must have 4 years of experience in hands-on development
Must have 3 years of experience in cloud, data pipelining, data modeling and productionizing AI/ML models.
Must have 3 years of experience with a minimum of one or a combination of AI/ML Engineer, Cloud data engineer, or a Data Architect or similar role over with minimum of 1 completed projects.
Must have 3 years of experience with a minimum of one or a combination of code technologies such as:
- Java
- Python
- Scala
Must have 3 years of experience with a minimum of one or a combination of code technologies such as:
- Kafka (or similar)
- NiFi
- Hadoop
- Spark
Must have 3 years of experience with a minimum of one or a combination of Big Data querying tools such as:
- Pig
- Hive
- Impala
Must have 3 years of experience with a minimum of one or a combination of NoSQL databases such as:
- MongoDB
- Cassandra
- Neo4J
Must have 3 years of experience with Data ingestion, data cleaning, ETL, traditional warehousing and data marts, and data & insights provisioning
Must have 1 year of experience with GCP, AWS, or Azure.
Must have 3 years of experience in data structures, data modeling, and software architecture
Must have 1 year of experience in at least one Machine Learning library/framework (scikit-learn, Mahoot, MLib, H2o, etc.)
Requires travel up to 80%, of which 10% may be international, to serve client needs.
Employer will accept any suitable combination of education, training or experience.
Please apply on-line at ey.com/en_us/careers and click on "Careers - Job Search”, then “Search Jobs" (Job Number - 1512597).
- Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
Tags: Architecture AWS Azure Big Data Cassandra Computer Science Consulting Databricks Data management Engineering ETL GCP Hadoop Java Kafka Machine Learning Mathematics ML models MongoDB Neo4j NiFi NoSQL Pipelines Python Scala Scikit-learn Spark
Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment
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