Azure Data Modeler Job at Realign (Toronto)

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Azure Data Engineer

We are looking for a highly skilled and experienced Azure Data Engineer with sig...

Location

Egypt , Cairo

Salary:

Not provided

Coca-Cola HBC

Expiration Date

Until further notice

Requirements

Bachelor's degree in Information Technology, Computer Science, or related field
3+ years of experience in data engineering with hands-on exposure to Azure (Azure Data Factory, Azure Data Lake Storage, Fabric)
Proven experience designing and building production-grade data pipelines that handle large volumes of data reliably
Strong SQL skills and experience with data modelling, schema design, and query optimization
Hands-on experience with Databricks (PySpark / Spark SQL) for large-scale data transformation
Working proficiency in Python
Understanding of data warehouse and lakehouse concepts
Ability to manage your own tasks within a defined sprint scope and deliver consistently
Good communication skills - able to translate technical concepts for business stakeholders and vice versa
Excellent problem-solving and debugging skills

Job Responsibility

Design, build, and maintain scalable ELT/ETL pipelines using Azure Data Factory, ensuring reliability and performance at terabyte scale
Contribute to end-to-end pipeline health: monitoring, alerting, incident response, and continuous improvement
Identify and resolve bottlenecks across ingestion, transformation, and serving layers
Implement and extend existing medallion architecture patterns
Develop data ingestion processes from multiple sources, ensuring accuracy, completeness, and consistency
Support the migration from SAP BW, ensuring data continuity and quality throughout
Ensure data integrity and availability through appropriate storage solutions, partitioning strategies, and access controls
Work independently on clearly scoped tasks, communicating progress and blockers regularly with your team
Collaborate with data scientists, BI analysts, and business stakeholders to understand requirements and translate them into technical solutions
Participate in agile ceremonies, contribute to sprint planning, and own your backlog items end-to-end

Fulltime

Azure Data Engineer

Location

United States , Shrewsbury

Salary:

Not provided

Ventois

Expiration Date

Until further notice

Requirements

Bachelor's degree or its equivalent in computer science, computer information systems, information technology, or a combination of education and experience equating to the U.S. equivalent of a bachelor's degree in one of the aforementioned subjects
Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
Identify business problems and management objectives that can be addressed through data analysis
translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
identify relationships, trends, and factors that could affect the results of analysis
Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
recommend data-driven improvements
Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes

Job Responsibility

Analyze, manipulate, and process large sets of structured and semi-structured data including healthcare datasets (claims, patient, and provider data) using Python (PySpark), SQL, and Spark SQL within the Azure data platform
Apply data mining, data modeling, and statistical analysis techniques to extract and analyze information from large datasets stored in Azure Data Lake Storage (ADLS) and Delta Lake across Bronze, Silver, and Gold layers
Identify business problems and management objectives that can be addressed through data analysis
translate business requirements into analytical workflows and data solutions using Azure Data Factory and Azure Databricks
Develop and maintain data models and analytical datasets to support reporting, business intelligence, and downstream data consumption
identify relationships, trends, and factors that could affect the results of analysis
Apply feature selection and data profiling methods to identify patterns, anomalies, and data quality issues that may impact analytical outcomes
recommend data-driven improvements
Clean, manipulate, and prepare raw data for analysis using ETL/ELT processes
implement data quality frameworks including validation rules, cleansing, and reconciliation techniques to ensure accuracy and consistency

Fulltime

Azure Data Platform Lead

Lead the design, implementation, and optimization of enterprise-scale Azure data...

Location

India

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

7+ years Azure data platform experience (Data Factory, Synapse Analytics, SQL Database, Storage)
Expert-level SQL, Python, and experience with Apache Spark (PySpark/Scala)
Strong understanding of data architecture patterns, data modeling, and distributed systems
Experience with Azure DevOps, ARM templates, and infrastructure automation
Knowledge of data governance tools and frameworks (Microsoft Purview preferred)
Hands-on experience with modern data stack components and cloud-native architectures
RESTful API integration, real-time streaming, and batch processing systems
Enterprise data warehouse and analytics platform implementation
Performance tuning, cost optimization, and capacity planning experience
Proven ability to lead technical teams and mentor junior engineers

Job Responsibility

Design and implement scalable data platform architectures using Azure services (Synapse, Data Factory, Fabric, SQL Database)
Establish data lakehouse and data warehouse solutions with medallion architecture patterns
Define data governance frameworks, security protocols, and compliance standards
Lead platform evaluations, vendor selections, and technology roadmap planning
Architect data ingestion pipelines from diverse sources including databases, APIs, files, and streaming systems
Design and optimize ETL/ELT processes using SQL, Python, Spark, and Azure native services
Implement data quality frameworks, monitoring, and alerting systems
Establish CI/CD pipelines for data workflows and infrastructure as code
Design seamless integrations with BI tools, analytics platforms, and downstream systems
Optimize performance, cost, and scalability through automated resource management

Fulltime

EDW ETL Developer - Azure Data Engineer

We are seeking a Senior Azure Data Engineer to help design, build, and operate o...

Location

United States , Springfield

Salary:

50.00 - 53.00 USD / Hour

Myticas Consulting

Expiration Date

Until further notice

Requirements

Deep hands-on expertise with Azure Data Factory: pipelines, datasets, linked services, triggers, parameterization, mapping data flows, and all three Integration Runtime types (Azure, Selfhosted, SSIS)
Strong Experience in Data Bricks and PySpark
Production experience with one or more of: Azure Synapse Analytics (Dedicated and Serverless SQL Pools, Spark Pools) OR Azure Databricks (Delta Lake, Unity Catalog) OR Microsoft Fabric (Warehouse, Lakehouse, OneLake)
Strong working knowledge of Azure Data Lake Storage Gen2 (hierarchical namespace, RBAC + ACLs, lifecycle management, security)
Experience with Azure Key Vault, Azure AD / Entra ID (including managed identities and service principals), and private networking (VNet integration, private endpoints)
Monitoring and troubleshooting with Azure Monitor, Log Analytics, and KQL
Advanced SQL — window functions, CTEs, query optimization, execution plan analysis, performance tuning
Strong Python for data engineering — pandas, PySpark, REST API integration, unit testing (pytest)
Proficient in T-SQL
familiarity with Spark SQL, KQL, PowerShell, and Bash shell scripting

Job Responsibility

Design and build robust, reusable, parameter-driven ingestion and transformation pipelines using Azure Data Factory, Synapse Pipelines, Data Bricks and/or Microsoft Fabric Data Factory
Implement medallion architecture (Bronze / Silver / Gold) on Azure Data Lake Storage Gen2 using Delta Lake, Parquet, and structured streaming patterns
Build performant ELT workflows that leverage pushdown to source systems (Synapse Dedicated SQL Pool, Azure SQL, Teradata) where appropriate
Develop and optimize PySpark notebooks and jobs on Azure Databricks or Synapse Spark
Design dimensional models (Kimball star/snowflake) and data vault patterns for analytics consumption
Implement Slowly Changing Dimensions (Type 1/2/3), Change Data Capture, and late-arriving data patterns
Tune distributed SQL workloads in Synapse Dedicated SQL Pool / Fabric Warehouse, including distribution keys, partitioning, and clustered column store indexes
Implement CI/CD for data pipelines using Azure DevOps (YAML pipelines, ARM/Bicep/Terraform) across Dev / SIT / UAT / Prod environments
Instrument pipelines with robust logging, auditing, and monitoring using Azure Monitor, Log Analytics, and KQL
Define and enforce coding standards, code review practices, branching strategies, and release management

Fulltime

Data Modeler

GeoLogics is working with a top Aerospace and Defense client looking for a Data ...

Location

United States , Sterling Heights

Salary:

52.00 - 62.00 USD / Hour

GeoLogics

Expiration Date

Until further notice

Requirements

Excellent oral and written communications
Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders - mainly engineering, to document and/or validate the current state or As-Is business process
Proven ability to work within teams in which your contributions are critical to success
Proficiency with tools such as Power BI, Visual Basic, MSExcel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL
Experience using entity-relationship diagrams (ERDs), dimensional modeling, normalization techniques, and metadata repositories to design and document data structures
Understanding of data warehousing concepts
Experience with big data technologies like Hadoop or Spark
Familiarity with cloud-based data services such as AWS or Azure
Background in data governance and data quality concepts
Excellent problem-solving and analytical skills

Job Responsibility

Design and implement conceptual, logical, and physical data models to represent organizational data accurately
Collaborate with business analysts, data architects, developers, and other stakeholders to gather requirements and ensure models meet business and technical needs
Maintain a central data dictionary, enforce data standards, and ensure compliance with data governance policies
Optimize performance of data infrastructure by tuning data models for efficiency, reduce redundancy, optimize reusability at the right levels and improve database performance
Design solutions for integrating data across systems and perform reverse engineering of existing databases when necessary
Develop and maintain documentation, naming conventions, and coding standards to ensure consistency across data systems helping the business to define 'what does good look like?'
Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes
Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs

Fulltime

Azure Data Engineer

You are an experienced Data Engineer with a strong background in Azure-based dat...

Location

Netherlands , Amsterdam

Salary:

Not provided

Levy Professionals

Expiration Date

Until further notice

Requirements

5+ years of experience in Azure cloud data engineering
Hands-on experience with Databricks, Unity Catalog and SQL data warehousing
Experience with DevOps practices and Scrum/Agile ways of working
Knowledge of Power BI, Azure cloud infrastructure, data governance and compliance practices

Job Responsibility

Develop and maintain scalable data solutions within the Azure cloud environment
Work with Databricks, Data Lakes and big data technologies to support enterprise data platforms
Build and optimize SQL data warehouse solutions using Kimball methodologies and data modelling principles
Develop and maintain solutions using Python, Scala and/or PySpark
Contribute to DevOps practices, Agile delivery processes and continuous platform improvements

Fulltime

Lead Azure Data Engineer

The Lead Azure Data Engineer operates as a technology expert and architect respo...

Location

United States

Salary:

128000.00 - 168000.00 USD / Year

Wolverine Worldwide

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science or equivalent work experience
10+ years of proven experience in the design and implementation of data warehouse architecture as well as data delivery, data modeling, ETL tools, master data management and deploying highly automated and documented solutions
Considered an expert with Cloud Data Engineering (Ex: MS Azure Synapse and/or Fabric)
8+ years of experience with Microsoft Azure data engineering products: Azure Synapse Studio, Pipelines/Workflows, Python Notebooks, Analytic Pools (serverless), SQL Server Development, and DevOps
Strong understanding of Azure Monitor, Application Insights, Cost Management, or equivalent tooling
Strong understanding of SAP AFS Functional Areas, Sales and Distribution, Order to Cash, Material Management, Procure to Pay a plus
Certificates in area of expertise or equivalent training and development
Proven successful assignment record
Good analytical, problem solving and organizational skills
Ability to establish and maintain effective working relationships

Job Responsibility

Confers with customers and team members to determine requirements
designs business application systems that address and solve corporate business needs
utilizes business and systems knowledge to best meet customer and organizational needs
Manages and maintains controls and procedures, ensuring that assigned IT areas are performing significant tasks on schedule and within expense parameters
Acts as coordinator, as requested, for Enterprise-Wide priorities
identifies and analyzes issues, devises solutions through cross-functional teamwork and determines corrective action, clearly communicating to stakeholders throughout
Assesses requirements and work requests and assigns priorities and resolution targets
Assists Manager in preparation of annual budgets and monthly cost allocations
Accountable for disaster recovery initiatives and change management standards and procedures
Leads and/or assists team members and customers with problem solving related to application performance and usage

Fulltime

Data Modeler

The Data Modeler role involves designing enterprise-grade data models for a lead...

Location

India , Bangalore

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Strong experience in data modeling tools such as ERWin, ER/Studio, PowerDesigner, or similar
Expertise in SQL, relational databases (Oracle, SQL Server, PostgreSQL, etc.)
Experience designing models for cloud data platforms such as Azure Synapse, Databricks, Snowflake, or AWS Redshift
Understanding of ETL/ELT pipelines, data integration techniques, and structured/unstructured data
Knowledge of data warehousing methodologies (Kimball, Inmon, Data Vault is a plus)
Familiarity with modeling for API-based systems, event-driven systems, and NoSQL databases is an advantage
Exposure to CIS, Billing, Metering, Asset Management, or Work/Field Management systems
Understanding of asset hierarchies, network topology, geospatial data (GIS), and meter data
Strong problem-solving and analytical thinking
Excellent communication and stakeholder collaboration skills

Job Responsibility

Design conceptual, logical, and physical data models for enterprise data platforms, data warehouses, and data lakes
Develop models aligned with industry standards, utilities data structures, and organizational data strategy
Ensure data models support scalability, performance, and future analytics requirements
Work closely with data architects to define data integration and data flow design across systems
Work with business SMEs to understand domain-specific processes such as: Metering & Billing, Customer Information Systems (CIS), Distribution/Transmission Operations, Asset & Work Management, Outage Management Systems (OMS)
Translate domain-driven requirements into accurate and optimized data models
Collaborate with business analysts, solution architects, ETL engineers, and application teams
Ensure alignment between business requirements and data modeling deliverables
Participate in workshops, requirement clarifications, and design walkthroughs
Define data standards, naming conventions, and modeling best practices

Fulltime

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Azure Data Modeler

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