Credera is looking for a Data Engineer to join their Data Engineering capability group to architect and implement enterprise data solutions for clients, focusing on data strategy, data science, modern data architecture, data visualization, and insights. The role involves solving business problems using data in a fast-paced, client-facing environment.
Requirements
- Experience building and optimizing data pipelines and data architecture
- Experience with wrangling, exploring, and analyzing data to answer specific business questions and identify opportunities for improvement
- Big data tools (e.g. Hadoop, Spark, Kafka, etc.)
- Relational SQL and NoSQL databases (e.g. Postgres, MySQL, SQL Server, Cassandra, MongoDB, etc.)
- Data pipeline and workflow management tools (e.g. Azkaban, Oozie, Luigi, Airflow, etc.)
- Stream-processing systems (e.g. Storm, Spark-Streaming, etc.)
- Scripting languages (e.g. Python, Java, C++, Scala, etc.)
- Container Orchestration (e.g. Kubernetes, Docker, etc.)
- Experience with one or more of the following cloud service providers: AWS cloud services, Google Cloud Platform, Azure cloud services
Responsibilities
- architect and implement enterprise data solutions
- data strategy
- data science
- modern data architecture
- data visualization and insights
- experienced data pipeline developer
- building solutions for data collection and analysis
Other
- project-based teams in a client facing roles
- team player who is passionate about building team culture
- enjoy a fast-paced environment
- comfortable applying their expertise across many use cases in various industries
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Strong project management and organizational skills
- Consulting experience is preferred
- Hybrid Work Model: employees have the flexibility to work remotely two days per week. We expect our team members to spend 3 days per week in person
- Travel : Our goal is to keep out-of-market travel to a minimum and most projects do not require significant travel. While certain projects can require frequent travel (up to 80% for a period of time), our average travel percentage over a year for team members is typically between 10-30%.
