Senior Data Engineering Consultant

Caring. Connecting. Growing together.

Primary Responsibilities:

• Data Engineering & Development
  • Design, code, test, document, and maintain high-quality, scalable data pipelines and solutions in cloud environments
  • Ingest and transform data from various sources including APIs, streaming platforms, files, and databases
  • Develop reusable patterns and promote innovation to enhance team productivity and velocity
• Application Development & Deployment
  • Design and develop applications in an Agile environment
  • Implement and manage CI/CD pipelines for seamless deployment
  • Participate in prototyping, design reviews, and code reviews
• Operations & Support
  • Willingness to work in both development and operations roles
  • Flexibility to support operations with adaptable working hours
  • Assist with incident and problem management
• Collaboration & Leadership
  • Act as a self-starter with a proactive learning attitude
  • Serve as a resource and mentor to team members
  • Work independently on complex and less structured issues
• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Technical Responsibilities

• Data Architecture & Engineering
  • Design and implement Data Warehouses and Data Lakes using platforms like Databricks and Snowflake
  • Perform data modeling and architecture design
  • Ensure high standards of data quality and integrity
• Cloud & Platform Engineering
  • Work with Platform-as-a-Service (PaaS) and cloud solutions, focusing on data stores and associated ecosystems
  • Manage design services, provide sizing and configuration assistance
• Database & Storage
  • Engage in database architecture, optimization, security, and administration
  • Work with both NoSQL and relational databases
  • Write SQL and data markup scripts to support analytics and application development
• Vendor & Business Analysis
  • Manage relationships with software and hardware vendors
  • Analyze current business practices and identify future opportunities for data leverage

Required Qualifications:

• 3+ years of experience with:
  • Design and implementation of Data Warehouse/Data Lake (Databricks/Snowflake)
  • Data architecture and data modeling
• 2+ years of experience with:
  • Databricks, Python, Spark, PySpark, SQL
  • Azure Data Factory
• 1+ years of experience with:
  • CI/CD tools (GitHub Actions, Jenkins, or similar)
  • Cloud-based CI/CD pipelines
  • GitHub
  • NoSQL and relational databases

Preferred Qualifications:

• Experience with Apache Kafka
• Knowledge of Data ingestion from various APIs
• Working in Agile/Scrum environments