Make your mark as part of a dynamic and growing team

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Adastra's Nova Consultants are new and recent graduates who are early in their career yet embody enormous potential. They are on a journey of building professional experience in Data Management and Business Analytics – one that is empowered by passion, drive and dedication. In this entry-level position, Nova Consultants start their training at Adastra Corporation’s head office in Markham. After orientation and extensive training, consultants are placed on a client project once a suitable opportunity is available. Adastra consultants work onsite at our clients’ locations around the GTA.

Adastra is currently seeking:


Nova Consultant | Business Intelligence/Data Warehousing

Work with a team of Adastra consultants to complete data warehouse and business intelligence projects that incorporate requirements gathering, logical and physical data models including metadata, source system data analysis, source-to-target data mapping analysis and design; as well as ETL development and quality assurance. Consultants at Adastra fill a variety of different roles with our clients, however, this entry-level position is tailored toward hands-on technical work.

Your profile includes:

  • Computer Science/Computer Engineering degree, or equivalent technical background

  • Proficiency with SQL; knowledge of other programming languages would be an asset

  • IT development background

  • Ability to present complex subjects and alternatives in a clear and concise manner to both technical and non-technical audiences at various levels within an organization

  • Previous experience in data warehousing and business intelligence would be an asset


Nova Consultant | Data Management

Work with a team of Adastra consultants in the complex and exciting areas of data quality, data governance, master data management and reference data management. Learn the latest technologies and methodologies in data management. Data management projects may incorporate requirements gathering, data analysis, logical and physical data modeling, implementation of systems and processes, as well as business communication.

YOUR PROFILE INCLUDES:

  • Computer Science, Computer Engineering, or similar/equivalent background

  • Proficiency with database development using SQL or similar languages

  • IT development background

  • Previous experience in data management (date quality, data governance, master data management, reference data management, etc.) would be an asset

  • Ability to present complex subjects and alternatives in a clear and concise manner to both technical and non-technical audiences at various levels within an organization


Nova Consultant | Big Data

Work with a team of Adastra consultants to analyze, design, develop, test, document and troubleshoot Big Data programs from detailed and high-level specifications. Leverage HDFS, HIVE/Impala, Sqoop, Spark, Falcon, Atlas, Ambari, Ranger, Sentry, Python, Scala, and other ETL tools optimized for Big Data (Talend, Informatica BDE, Ataccama) to source, ingest, manipulate, load, and analyze data. Assist in requirements analysis and subsequent development. Conduct unit tests and assist in test preparations to ensure data integrity, data quality, and program quality. Liaise with project managers, quality assurance analysts and Business Intelligence consultants. Design and implement technical enhancements of Big Data, Data Warehouse, Business Intelligence solutions as required. Consultants at Adastra Corporation fill a variety of different roles with our clients, however, this entry-level position is tailored toward hands-on technical work using a number of today's leading Big Data tools including Hadoop.

YOUR PROFILE INCLUDES:

  • Computer Science/Computer Engineering/Mathematics degree, or equivalent technical background

  • Some development experience, ideally using C++ or Java

  • Experience with UNIX

  • Knowledge of relational databases, including SQL

  • Ability to present complex subjects and alternatives in a clear and concise manner to both technical and non-technical audiences at various levels within an organization


Nova Consultant | Advanced Analytics/Data Science

Work with a team of Adastra consultants to complete Advanced Analytics and Data Science projects. Use sophisticated methodologies, robust analytical methods and informative visualizations to capture patterns, trends and outliers within data, and help our clients unearth new revenue opportunities, increase operational efficiencies and manage risks.


YOUR PROFILE INCLUDES:

  • Computer Science/Computer Engineering degree with courses in Mathematics/Statistics; or Mathematics/Statistics degree with some technical exposure through Computer Science courses or technical projects

  • Knowledge of general statistical distributions and techniques, as well as their applications

  • Fundamental knowledge of SDLC a must

  • Proficiency with Python; knowledge of other scripting languages (ex. Matlab) would be an asset

  • Experience with R; knowledge of other statistical packages (SAS, SPSS) would be an asset

  • Knowledge of Linux and shell scripting

  • Experience with data collection, data cleansing, data aggregation, model training and testing, and visualization

  • Familiarization with standard Hadoop Stack (HDFS, Hive, Spark, Flume, Kafka, etc.)

  • Knowledge of open-source machine learning tools (Theano, TensorFlow, CNTK, H20.ai, etc.)

  • Ability to consume analytical model results and present findings to both technical leads and business executives

  • Experience with at least one the following programming languages would be an asset: Java, C/C++, C#


Our Offer

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  • Long-term disability coverage

  • Friendly work environment

  • Supportive colleagues

  • Opportunity to work with a long-standing member of Canada’s 50 Best Managed Companies

  • Satisfaction of working for a reputable company

  • Dynamic and flexible workplace

  • Successful referral program

  • Employee perks

  • Competitive compensation package

  • Training on cutting-edge DW and BI technologies

  • Monthly information and training sessions

  • Career development plan

  • Educational assistance

  • Advancement and career opportunities

  • International experience

  • Health benefit package