Senior Data Engineer

Credera Experienced Hiring Job Board•Houston, TX

8h•Hybrid

About The Position

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 Engineer to add to Data Engineering capability group. Our ideal candidate is excited about being on project-based teams in a client facing roles to architect 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-based data 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.

Requirements

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
Working knowledge of Big data tools (e.g. Hadoop, Spark, Kafka, etc.)
Working knowledge of Relational SQL and NoSQL databases (e.g. Postgres, MySQL, SQL Server, Cassandra, MongoDB, etc.)
Working knowledge of Data pipeline and workflow management tools(e.g. Azkaban, Oozie, Luigi, Airflow, etc.)
Working knowledge of Stream-processing systems (e.g. Storm, Spark-Streaming, etc.)
Working knowledge of Scripting languages (e.g. Python, Java, C++, Scala, etc.)
Working knowledge of 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
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Credera will not sponsor applicants for U.S. work visa status for this opportunity

Nice To Haves

Consulting experience is preferred

Responsibilities

Architect and implement enterprise data solutions.
Contribute to projects focused on data strategy, data science, modern data architecture, data visualization and insights.
Develop data pipelines and optimize data flows.
Build solutions for data collection and analysis.
Develop and deploy cloud-based data solutions.
Apply expertise across many use cases in various industries.