Senior Data Engineer

Credera is a global consulting firm that combines transformational consulting capabilities, deep industry knowledge, AI and technology expertise to deliver valuable customer experiences and accelerated growth across various industries. We continuously evolve our services to meet the needs of future organizations and reflect modern best practices. Our unique global approach provides tailored solutions, transforming the most influential brands and organizations worldwide.

Our employees, the lifeblood of our company, are passionate about making an extraordinary impact on our clients, colleagues, and communities. This passion drives how we spend our time, resources, and talents.Our commitment to our people and work has been recognized globally. Please visit our employer awards page: https://www.credera.com/awards-and-recognition.

We are looking for a passionate Data Engineerto add to Data Engineering capability group. Our ideal candidate is excited about being on project-based teams in a client-facing roles to develop and implement enterprise data solutions. The data engineer will be part of our team of strategy and technology consultants, contributing to projects focused on data strategy, data science, modern data architecture, data visualization and insights. They are an experienced data pipeline developer who enjoys data wrangling, optimizing data flows, and building solutions for data collection and analysis. They are experienced with developing and deploying cloud-baseddata solutions. They are team player who is passionate about building team culture. They enjoy a fast-paced environment, solving business problems with the use of data. The data engineer will be comfortable applying their expertise across many use cases in various industries.

QUALIFICATIONS:

• Candidate with minimum of 3+ years of experience in a Data Engineering role
• Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
• 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
• Strong project management and organizational skills
• Consulting experience is preferred
• The ideal candidate will have working knowledge of the following:
  • 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