Credera is looking for a Data Engineer to join their Data Engineering capability group to architect and implement enterprise data solutions, contributing to projects focused on data strategy, data science, modern data architecture, data visualization, and insights. The role aims to solve business problems using data in a fast-paced 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.)
Responsibilities
- architect and implement enterprise data solutions
- contributing to projects focused on data strategy, data science, modern data architecture, data visualization and insights
- experienced data pipeline developer who enjoys data wrangling, optimizing data flows, and building solutions for data collection and analysis
- developing and deploying cloud-based data solutions
- 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
- working knowledge of the following: Big data tools (e.g. Hadoop, Spark, Kafka, etc.)
Other
- Candidate with 3+ years of experience in a Data Engineering role
- Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
- Strong project management and organizational skills
- Consulting experience is preferred
- team player who is passionate about building team culture
