Safety Analysis Engineer at GM ensuring the functional safety of in - house developed ECUs. Addressing safety challenges through analysis and leadership in a dynamic team.
About the role
- Data Engineer at EY focusing on digital transformation projects in finance. Collaborating across teams to develop innovative data solutions in a diverse, global environment.
Responsibilities
- Collaborate within multidisciplinary teams, communicating effectively to achieve shared objectives.
- Work on resolving complex problems by developing creative and innovative solutions.
- Apply critical thinking to analyze data, identify patterns, and make evidence-based decisions.
- Pursue continuous learning, adapting to new technologies and trends to enhance your skills and contribute to project success.
Requirements
- Bachelor's degree completed or in progress in Computer Science, Mathematics, Statistics, Economics, Business Administration, Engineering, or related fields.
- Proficiency in Python for scripting, data manipulation, and ETL solutions.
- Knowledge of SQL for querying and manipulating databases.
- Proficiency with PySpark for data processing.
- Experience with Apache Spark for large-scale data processing.
- Knowledge of Hadoop for data storage and processing.
- Experience using GitHub for version control and collaboration.
- Knowledge of Power BI or other data visualization tools.
- Nice-to-haves: Experience with ElasticSearch, domain knowledge of the financial sector, certifications in Cloud Computing and Databricks, and familiarity with DevOps tools and Generative AI.
Benefits
- Visit go.ey.com/benefits to explore our range of benefits.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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