Consultant-3

About the role

We are looking for a passionate Data Engineer to join our 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.

Responsibilities

• Architect and implement enterprise data solutions
• Build and optimize data pipelines and data architecture
• Wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement
• Manage and deploy cloud-based data solutions
• Contribute to projects focused on data strategy, data science, modern data architecture, data visualization, and insights
• Apply expertise across various use cases in different industries

Requirements

• Minimum of 1+ 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
• Strong project management and organizational skills
• Working knowledge of 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.), and container orchestration (e.g. Kubernetes, Docker, etc.)
• Experience with one or more cloud service providers: AWS, Google Cloud Platform, Azure

Qualifications

• Consulting experience is preferred

Skills

• 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.)

Benefits

• Health, mental health, vision, dental, and life insurance
• Prescriptions, fertility and adoption benefits
• Community service days, paid parental leave, PTO, 14 paid holidays
• Matching 401(k)
• Healthcare & Dependent Flexible Spending Accounts
• disability benefits

Pay

$85,000 - $105,000

Schedule

Hybrid working model: Two days remote, three days in-person