Data Integration Developer-SAS/Python/PySpark/Hadoop

  • Date Posted Dec 20, 2019
  • Location Toronto, Ontario
  • Job Type Contract
  • Job ID 10024

Are you an experienced, proactive and detail-oriented professional who can deliver quality business values through innovation and collaboration in an agile environment? Are you a quick learner who can easily adapt to new environments and develop healthy relationships with stakeholders? If yes, Apply Now. 

Working with one of our top financial clients, this role calls for a  Data Integration Developer – SAS/ Python/PySpark/ Hadoop who will provide business technical leadership across a broad range of information management functions to support the various areas of data and analytics. The potential candidate will work independently as a senior leader and may manage and direct activities related to analysis, design and support of business data management solutions on various projects ranging up to larger projects. The individual will be using Hive, HQL, Hadoop, Python, PySpark, SAS Enterprise Guide, PC SAS, SQL, Unix, Linux, MS Office, JIRA, Confluence, BitBucket as tools. The ideal candidate will also optionally use Podium, Autosys, Talend, Oozie, C++, Javascript, R Studio, Tableau, and HTML



  • Analyze and understand business and data requirements to develop complete business solutions, including data models (entity-relationship diagrams, dimensional data models) and business rules, data lifecycle management, governance, lineage, metadata and reporting elements.
  • Apply automation and innovation on data platforms and on-going on any new development projects/initiatives aligned to business or organizational strategies
  • Design and implement complex business data information management frameworks to provide a solution that meets business requirements
  • Collaborate with technology and business partners to resolve issues and ensure requirements and established SLAs
  • Work closely with various technology/project teams to understand business data and provide analysis and requirements to ensure the data design/development initiatives are in line with the planned design and standards


  • Work with other various partners/ stakeholders to ensure project success
  • Develop business requirements by researching/analyzing and documenting business data requirements
  • Implement processes aligned to data information management standards and ensure data quality and requirements are developed
  • Develop and maintain knowledge of data available from upstream sources and data within various platforms
  • May be responsible to understand and utilize business information management data deliverables
  • Perform data profiling using tooling and ad hoc system query languages to validate data analysis
  • Provide support throughout data lifecycle to resolve data issues and support user community by helping users interpret the data
  • Identify and/or define knowledge transfer and data expertise activities to support business teams using information management solutions.
  • Adhere to enterprise frameworks or methodologies that relate to data activities for the business area
  • Ensure business operations are in compliance with applicable internal and external requirements (e.g. financial controls, segregation of duties, transaction approvals and physical control of assets)
  • Participate in cross-functional / enterprise/initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations
  • Conduct meaningful analysis at the functional or enterprise-level using results to draw conclusions, make recommendations, assess the effectiveness of programs/ policies/ practices
  • Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts
  • Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite


  • Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest
  • Provide industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit
  • Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques
  • Participate in personal performance management and development activities, including cross-training within own team
  • Keep others informed and up-to-date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities
  • Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
  • Lead, motivate and develop relationships with internal and external business partners/stakeholders to develop productive working relationships.
  • Contribute to a fair, positive and equitable environment that supports a diverse workforce
  • Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

Breadth & Depth:

  • Expert level professional role considered subject matter expert with in-depth knowledge/expertise in own domain/field of specialty and working knowledge of broader related areas
  • Requires expert level conceptual and practical knowledge for own area of specialty and knowledge of broader related areas
  • Advanced analytical and problem-solving skills and fluent in one or two programming language
  • Works autonomously on a range of tasks and may be relied upon to coach / educate others
  • Lead projects of moderately to complex risk and resource requirements; may lead end-to-end processes or functional programs
  • In-depth experience working with very large datasets and familiarity with big data technologies
  • Keep abreast of rapid business and technology innovation within the business information management field
  • Familiar with visualization tools
  • Generally, reports to a Senior / Manager role

Desired Skill-Set:

  • 5 years of experience with SAS/SQL
  • 5 years of experience with Python/PySpark 
  • 5 years of experience with Hadoop 
  •  JIRA/CONFLUENCE/Bitbucket
  • Proficient knowledge of various data sources, tools and technologies used in preparing summaries and reports
  • Analytical and problem-solving skills are required to interpret data and draw conclusions
  • Knowledge of current and emerging competitor and market trends
  • Skill in using analytical software tools, data analysis methods and reporting techniques
  • Skill in mentoring/coaching others
  • Skill in using computer applications including MS Office
  • Ability to communicate effectively in both oral and written form
  • Ability to work collaboratively and build relationships
  • Ability to work successfully as a member of a team and independently
  • Ability to exercise sound judgement in making decisions
  • Ability to analyze, organize and prioritize work while meeting multiple deadlines
  • Ability to handle confidential information with discretion
  •  Undergraduate degree or Technical Certificate and/or 5+ years of relevant experience from a business administration, statistical, mathematical, scientific or financial background

Nice to Have:

  • Autosys, Talend, Oozie – scheduling
  • ETL
  • Hive, HQL 

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