Senior Data Engineer

at  Atimi

Atimi is seeking an experienced data engineer to fill in Vancouver, Canada, but as this is a fully remote position, we’re open for candidates from all provinces. Atimi works with some of the leading companies in North America, providing them with high-quality software solutions that integrate both mobile and web experience. If you are a creative, self-motivated individual with vast user experience working with complex problems, Atimi is the place for You. We are looking for an established leader in the domain with solid experience in software development principles, data engineering, hands-on knowledge of the latest cloud technologies, business intelligence, and soft skills. You work well with colleagues, partners and clients and have excellent communication skills.

Responsibilities

• Working closely with stakeholders to understand their requirements, design and implement the right solution
• Work closely with other teams, analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.
• Implementing data models and data mining solutions
• Designing and implementing an ETL and data cleansing solutions
• Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data store principles
• Delivering fair outcomes for our customers, ensuring conduct maintains a high level of expertise

BASIC QUALIFICATIONS

• Bachelor’s degree in Computer Science, Engineering, Math, Finance, Statistics or related discipline from a recognized university.
• 3+ years of relevant experience in a business intelligence role, including data warehousing and business intelligence tools, techniques and technology
• 3+ years of experience in analytics, business analysis or comparable consumer analytics solutions
• Expert knowledge of SQL (DQL and DDL)
• Expertise in very large Data Warehousing and Online Analytical Processing
• Expertise in AWS Technology stack (Redshift, RDS, S3, EMR)
• Familiarity with Linux scripting (bash, python, javascript)
• Solid experience with business intelligence reporting tools (Tableau, OBIEE, Cognos, MicroStrategy, SSAS Cubes)
• Hands-on experience with recent advances in distributed computing such as MapReduce, MPP architecture and NoSQL databases
• Expertise in data warehouse design
• Expertise in relational database design
• Expertise in data mining algorithms
• Expertise in data cleansing
• Experience working directly with clients and other project stakeholders to define and refine requirements.
• Strong English skills (written and verbal.)

• Working closely with stakeholders to understand their requirements, design and implement the right solution
• Work closely with other teams, analyze source systems, define underlying data sources and transformation requirements, design suitable data models and document the design/specifications.
• Implementing data models and data mining solutions
• Designing and implementing an ETL and data cleansing solutions
• Build and maintain the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data store principles
• Delivering fair outcomes for our customers, ensuring conduct maintains a high level of expertis