Jobs

    SQL / Cloud Engineer - Canada - BigTapp Co

    BigTapp Co
    BigTapp Co Canada

    3 weeks ago

    Default job background
    Description

    Must Skills:
    Aws/Azure/Gcp, SQL, Data Modelling & reporting Tools, & Hadoop.
    We are excited to welcome a talented and experienced Data Architect to our team.

    As a Cloud Architect, you will have the opportunity to work on a variety of projects and industries while working with a team of experienced professionals.

    You will be able to access cutting-edge tools and technologies and have ongoing learning and development opportunities to help you grow your skills.

    We are looking for someone who is passionate about data Engineering and is committed to staying up to date with the latest advancements in the field.

    The Cloud Architect (Big Data) role will be accountable to deliver proof-of-concept projects, topical workshops, and lead implementation projects.

    These professional services engagements will focus on key customer solutions such as, web applications, enterprise applications, data warehouse migration, big data, archiving and disaster recovery, this role will focus on all aspects of data and information (both structured and unstructured) and support the development of enterprise systems from business requirements to logical architecture.

    This role spans the full information management life cycle from acquisition, cleansing, data modelling, transformation, and storage to presentation, distribution, security, privacy, and archiving.

    Guiding project teams and data centric organizations on the best solutions to use enterprise architecture capabilities to deliver higher value at a faster pace to the business.

    ➢ Helping Project Managers in identifying key data, and information risks, mitigation plans, effort estimation and planning.
    ➢ Collaborating with Lead Architects across the other architectural domains – namely, Business, Application, Technology, and Security to ensure alignment of strategies.
    ➢ Developing standards, domain principles, and the best ways for creating and maintaining architecture artifacts (including inventories and models). Ensuring sufficiency of architecture requirements for top projects.
    ➢ Be accountable for the development of the conceptual, logical, and physical data models, the usage of RDBMS, operational data store (ODS), data marts, and data lakes on target Cloud platforms Azure/GCP/AWS PaaS (SQL/NoSQL).
    ➢ Be accountable for and govern the expansion of existing data architecture and the optimization of data query performance via the best solutions. Overall 10+ years of experience in IT industry
    ➢ Graduate (Any Degree) with 60% and above
    ➢ More than 5 years of demonstrated ability with normalized and Dimensional modelling techniques, Star & Snowflake schemas, modelling slowly changing dimensions, dimensional hierarchies, and data classification. Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools.
    ➢ Ability to define and govern data modelling and design standards, tools, the best approaches, and related development for enterprise data models.
    ➢ Hands-on data modelling in areas of Canonical, Semantic, Logical & Physical data models, design, schema synchronization and performance tuning.
    ➢ Data modelling tools (e.g., Erwin data modeler, ArchiMate, E/R studio, DB Schema etc) ETL (Extract-Transform-Load) tools (e.g., Informatica, Google Dataflow, Azure Data Factory, Talend, etc.) BI tools and reporting software (e.g., Tableau, PowerBI, MicroStrategy, etc.)
    ➢ Demonstrated ability to succeed in a fast paced and changing environment with interruptions, and multiple tasks/projects occurring simultaneously.
    ➢ Ability to work independently and have skills in planning, strategy, estimation, scheduling, and project management.
    ➢ Mentor and guide Technical Leads & Software Engineer (both internal and external).
    ➢ Amazon Web Services EC2, Elastic MapReduce) and considerations for scalable, distributed systems NoSQL platforms (e.g., key-value stores, graph databases) Data modelling techniques for NoSQL data and Cloud data platforms (e.g., AWS, Azure, GCP) High-scale or distributed cloud native data platforms.
    ➢ Experience in solution architecting, design & execute – Data lakes in CSPs (preferred Azure/GCP, AWS).
    ➢ MS Azure:

    Security Center, Azure Active Directory (Core, Developer, B2C, Services), Key Vault, understanding of securing PaaS solutions like SQL data warehouse.

    ADF, SQL DB, Azure App service etc.
    ➢


    GCP:
    Google app stack and Google Big Data stacks.
    ➢

    We are looking for someone who possesses strong analytical and problem-solving skills and has an ability to translate ambiguity and incomplete information into insights and impactful items understood by Business and IT leaders.

    They need to balance the need to operate the business today while understanding and influencing the business and data technologies of the future.

    The person requires curiosity to engage all business units and functions of the company while partnering with external organizations on the best approaches and solution delivery.
    ➢

    MapReduce, Sqoop, Pig, Hive, HBase, Flume) Analytical tools, languages, or libraries (e.g., Related/complementary open-source software platforms and languages (e.g., Java, Python, Spark, Scala, Kubernetes, Docker, etc.)

    We are looking for someone who possesses strong analytical and problem-solving skills and has an ability to translate ambiguity and incomplete information into insights and impactful items understood by Business and IT leaders.

    They need to balance the need to operate the business today while understanding and influencing the business and data technologies of the future.

    The person requires curiosity to engage all business units and functions of the company while partnering with external

    MapReduce, Sqoop, Pig, Hive, HBase, Flume) Analytical tools, languages, or libraries (e.g., Related/complementary open-source software platforms and languages (e.g., Java, Python, Spark, Scala, Kubernetes, Docker, etc.)


    ➢ Opportunity to work on a variety of projects and industries.
    ➢ Opportunity to work on a variety of projects and industries.
    ➢
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