RQ10281 Specialized IT Consultant Senior

General Responsibilities:

• Works in partnership with clients advising them on information technology in order to meet their business objectives or overcome problems work to improve structure and efficiency of an organizations I&IT systems.
  
• The I&IT Consultant may be used to provide strategic guidance to organizations with regard to Information Management & IT technology IT infrastructures and the enablement of major business processes through enhancements to IT.
  
• Provides subject matter expertise in their field and highly expert technical assistance.
  

General Skills:

• Acts as the technical advisor/expert on all aspects of a specific deliverable
  
• Provide the quality assurance/quality control of specific deliverables
  
• Anticipates and resolves problems to ensure that the deliverables are completed within budget to the highest quality meeting or exceeding expectations
  
• Develops processes and procedures for implementing deliverables
  
• Prepares reports and presentations including options recommendations implementation plans etc.
  
• Works with clients to define the scope of a project and to determine requirements
  
• Defines software hardware and network requirements
  
• Analyzes I&IT requirements giving independent and objective advice on the use of I&IT Designs tests installs and monitors new systems and develops solutions and implementation of new systems
  
• Familiar with change-management principles and methodology
  
• Knowledge and understanding of Information Management principles concepts policies and practices
  

Additional Responsibilities:

• This role will focus on data architecture data warehousing data lakes and analytics.
  
• The individual will be designing developing maintaining and optimizing ETL (Extract Transform Load) processes in Databricks for data warehousing data lakes and analytics.
  
• The individual will work closely with data architects and business teams to ensure the efficient transformation and movement of data to meet business needs including handling Change Data Capture (CDC) and streaming data.
  
• Review business requirements familiarize with and understand business rules and transactional data model
  
• Define conceptual logical model and physical model mapping from data source to curated model and data mart.
  
• Analyze requirements and recommend changes to the physical model.
  
• Develop scripts for the physical model create database and/or delta lake file structure.
  
• Access Oracle DB environments set necessary tools for developing solution.
  
• Implement data design methodologies historical and dimensional models
  
• Perform data profiling assess data accuracy design and document data quality and master data management rules
  
• Functionality Review Data Load review Performance Review Data Consistency checks.
  
• Help troubleshooting data mart design issues
  
• Review performance of ETL with developers and suggest improvements
  
• Participate in end-to-end integrated testing for Full Load and Incremental Load and advise on issues
  

Tools used are:

• Azure Databricks Delta Lake Delta Live Tables and Spark to process structured and unstructured data.
  
• Azure Databricks/PySpark (good Python/PySpark knowledge required) to build transformations of raw data into curated zone in the data lake.
  
• Azure Databricks/PySpark/SQL (good SQL knowledge required) to develop and/or troubleshoot transformations of curated data into FHIR.
  

Data design:

• Understand the requirements. Recommend changes to models to support ETL design.
  
• Define primary keys indexing strategies and relationships that enhance data integrity and performance across layers.
  
• Define the initial schemas for each data layer
  
• Assist with data modelling and updates of source-to-target mapping documentation
  
• Document and implement schema validation rules to ensure incoming data conforms to expected formats and standards
  
• Design data quality checks within the pipeline to catch inconsistencies missing values or errors early in the process.
  
• Proactively communicate with business and IT experts on any changes required to conceptual logical and physical models communicate and review timelines dependencies and risks.
  

Development of ETL strategy and solution for different sets of data modules:

• Understand the Tables and Relationships in the data model.
  
• Create low level design documents and test cases for ETL development.
  
• Implement error-catching logging retry mechanisms and handling data anomalies.
  
• Create the workflows and pipeline design
  

Development and testing of data pipelines with Incremental and Full Load:

• Develop high quality ETL mappings/scripts/notebooks
  
• Develop and maintain pipeline from Oracle data source to Azure Delta Lakes and FHIR
  
• Perform unit testing
  
• Ensure performance monitoring and improvement
  

Performance review data consistency checks:

• Troubleshoot performance issues ETL issues log activity for each pipeline and transformation.
  
• Review and optimize overall ETL performance.
  

End-to-end integrated testing for Full Load and Incremental Load Plan for Go Live Production Deployment:

• Create production deployment steps.
  
• Configure parameters scripts for go live. Test and review the instructions.
  
• Create release documents and help build and deploy code across servers.
  

Go Live Support and Review after Go Live:

• Review existing ETL process tools and provide recommendation on improving performance and reduce ETL timelines.
  
• Review infrastructure and remediate issues for overall process improvement
  

Knowledge Transfer to Ministry staff development of documentation on the work completed:

• Document work and share the ETL end-to-end design troubleshooting steps configuration and scripts review.
  
• Transfer documents scripts and review of documents to Ministry.
  

Requirements

Experience and Skill Set Requirements:

Must Haves:

• Experience with ETL tools such as Microsoft SSIS stored procedures T-SQL
  
• Experience in Delta Lake Databricks and Azure Databricks pipelines
  
• Strong knowledge of Delta Lake for data management and optimization.
  
• Familiarity with Databricks Workflows for scheduling and orchestrating tasks.
  
• Python and PySpark
  
• Solid understanding of the Medallion Architecture (Bronze Silver Gold) and experience implementing it in production environments.
  
• Hands-on experience in real-time data ingestion and streaming architecture using Oracle GoldenGate for CDC
  
• SQL Server Oracle
  

Skill Set Requirements:

Experience:

• Experience working with SQL Server T-SQL Oracle PL/SQL development or similar relational databases
  
• Experience working with Azure Data Factory Databricks and Python development
  
• Experience building data ingestion and change data capture using Oracle Golden Gate
  
• Experience in designing developing and implementing ETL pipelines using Databricks and related tools to ingest transform and store large-scale datasets
  
• Experience in leveraging Databricks Delta Lake Delta Live Tables and Spark to process structured and unstructured data.
  
• Experience working with building databases data warehouses and working with delta and full loads
  
• Experience on Data modeling and tools e.g. SAP Power Designer Visio or similar
  
• Experience working with SQL Server SSIS or other ETL tools solid knowledge and experience with SQL scripting
  
• Experience developing in an Agile environment
  
• Understanding data warehouse architecture with a delta lake
  
• Ability to analyze design develop test and document ETL pipelines from detailed and high-level specifications and assist in troubleshooting.
  
• Ability to utilize SQL to perform DDL tasks and complex queries
  
• Good knowledge of database performance optimization techniques
  
• Ability to assist in the requirements analysis and subsequent developments
  
• Ability to conduct unit testing and assist in test preparations to ensure data integrity
  
• Work closely with Designers Business Analysts and other Developers
  
• Liaise with Project Managers Quality Assurance Analysts and Business Intelligence Consultants
  
• Design and implement technical enhancements of Data Warehouse as required.
  

Technical Skills:

• Experience in developing and managing ETL pipelines jobs and workflows in Databricks.
  
• Deep understanding of Delta Lake for building data lakes and managing ACID transactions schema evolution and data versioning.
  
• Experience automating ETL pipelines using Delta Live Tables including handling Change Data Capture (CDC) for incremental data loads.
  
• Proficient in structuring data pipelines with the Medallion Architecture to scale data pipelines and ensure data quality.
  
• Hands-on experience developing streaming tables in Databricks using Structured Streaming and readStream to handle real-time data.
  
• Expertise in integrating CDC tools like GoldenGate or Debezium for processing incremental updates and managing real-time data ingestion.
  
• Experience using Unity Catalog to manage data governance access control and ensure compliance.
  
• Skilled in managing clusters jobs autoscaling monitoring and performance optimization in Databricks environments.
  
• Knowledge of using Databricks Autoloader for efficient batch and real-time data ingestion.
  
• Experience with data governance best practices including implementing security policies access control and auditing with Unity Catalog.
  
• Proficient in creating and managing Databricks Workflows to orchestrate job dependencies and schedule tasks.
  
• Knowledge of FHIR Standards and their application within real-time streaming ecosystems
  
• Strong knowledge of Python PySpark and SQL for data manipulation and transformation.
  
• Experience integrating Databricks with cloud storage solutions such as Azure Blob Storage AWS S3 or Google Cloud Storage.
  
• Familiarity with external orchestration tools like Azure Data Factory
  
• Implementing logical and physical data models
  

Design Documentation and Analysis Skills:

• Demonstrated experience in creating design documentation such as:
  

• Schema definitions
  
• Error handling and logging
  
• ETL Process Documentation
  
• Job Scheduling and Dependency Management
  
• Data Quality and Validation Checks
  
• Performance Optimization and Scalability Plans
  
• Troubleshooting Guides
  
• Data Lineage
  
• Security and Access Control Policies applied within ETL
  

• Experience in Fit-Gap analysis system use case reviews requirements reviews coding exercises and reviews.
  
• Participate in defect fixing testing support and development activities for ETL
  
• Analyze and document solution complexity and interdependencies including providing support for data validation.
  
• Strong analytical skills for troubleshooting problem-solving and ensuring data quality.
  

Communication and Leadership Skills:

• Ability to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.
  
• Experience working with external vendors
  
• Strong problem-solving skills and experience working in an Agile or Scrum environment.
  
• Ability to provide technical guidance and support to other team members on Databricks best practices.
  
• Must have previous work experience in conducting Knowledge Transfer sessions ensuring the resources will receive the required knowledge to support the system.
  
• Must develop documentation and materials as part of a review and knowledge transfer to other members.