Azure Data Developer Jobs

NOTE: Hybrid work model, office located in Toronto, ON

: Azure Data Architect, Kafka, Data Flow Diagrams, Data Models

Data Architect on Azure Platform

- In-depth understanding of database structure principles.

- In-depth understanding of event-driven architecture.

- Familiarity with data visualization tools.

Collaborate with cross-functional teams to understand data acquisition requirements and translate them into technical solutions.

Utilize your strong problem-solving skills to apply reverse-engineering techniques, extracting data from complex web applications efficiently and accurately.

Adapt quickly to evolving project requirements, while effectively prioritizing tasks to meet deadlines.

Strong problem-solving skills with the ability to tackle complex technical challenges.

Quick adaptability to changing project requirements and priorities.

Solid communication skills, both written and verbal.

Utilize hands-on experience with PolyBase and External Tables to assist customers in loading data into Azure Synapse.

Exhibit strong troubleshooting skills to resolve difficult customer issues via telephone, email, and chat services.

Bachelor's degree in Computer Science, Information Technology, or related field; relevant certifications are a plus.

Excellent written and verbal communication skills in English; French or Spanish -speaking and writing ability is a plus.

Extensive hands-on experience with Azure Synapse Analytics components and functionalities.

Relevant industry certifications, such as Azure certifications, Network+, CCNA, etc., are desirable.

Work with data analytics solution team to understand data requirements, Entity Relationship Diagram (ERD) and implementation of ETL logic

Design effective test strategy to validate end-to-end data quality based on data requirements and business needs

Proven experience in tuning databases and queries for optimal performance

Experience in programming languages used in data systems - Python or R or Java

Experience in ingesting data from various sources in formats such as JSON, XML, CSV, etc.

Experience in data visualisation tools such as Tableau, Power BI, etc.

Utilisation de Azure Data Factory pour l’ingestion des données dans le Data lake;

Utilisation de Databricks pour le chargement, transformation et stockage des données en format parquet/delta tables;

Utilisation de spark/scala/python pour le développement des librairies de chargement;

Analyse des historiques de données pour changer le modèle, documentation des mappings;

Participer à l’évolution des librairies développées pour le chargement du data lake;

Développer les meilleures pratiques de validation de la qualité des données chargées;

Breadth of technical experience and knowledge across the Azure Data Platform, with depth Domain

Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required

Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.

-Excellent written, verbal, and presentation skills targeted at all levels of the organization

Teamwork. Motivated and keen to work in a collaborative environment with a focus on team success over and above individual success.

Expertise in two or more of the following Data Platform resources is required:

The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable

Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required

Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.

Excellent written, verbal, and presentation skills targeted at all levels of the organization

Designing and building interactive insightful data products using Power BI, ML and Azure

Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets

The candidate should have experience in creating dataflows using Azure Data Factory and familiarity with the Medallion Architecture is highly desirable

Experience. 5+ years solving sophisticated technical data projects using the Microsoft Azure data stack is required

Relationship Building. A proven track record of building deep technical relationships. Experience in setting expectations across various partners.

Excellent written, verbal, and presentation skills targeted at all levels of the organization

Designing and building interactive insightful data products using Power BI, ML and Azure

Developing and monitoring Azure data pipelines, Power BI Premium Dataflows to gather, transform and democratize structured and unstructured data assets

Participating in architecture and system design discussions and offering critical feedback

Working closely with Engineering Managers and Developers to find the best solutions for their data needs

Continuously improving our implementation as new requirements are discovered

4+ years of experience working with productive software engineering teams and writing high-quality software

Experience with any of the following technologies is a bonus: Apache Pulsar, Kubernetes, Operating data-platform’s at scale

Experience in monitoring and maintaining data pipelines for efficiency and smooth operation

· Promote the reuse of data assets, including the management of the data catalog for reference

· Good technical presentation & delivery skills

· High-level written and oral communication skills

· Ability to translate business requirements into non-technical, lay terms

JD : Sr Azure Data Engineer

Azure Data Engineer - JD

·2 years SQL developer experience.DBA considered

·SQL Server Data Warehouse / Azure Synapse or experience in RDMS or equivalent MPP cloud based databases

·Developer Experience: Python, Scala, R

·TSQL, PL/SQL, Kusto (Azure Data Explorer)

·ETL Tool or equivalent such as Azure Data Factory, SQL Server Integration Services

·Strong background in network connectivity (Network +, CCNA preferred

5+ years' experience designing, developing, implementing and supporting Enterprise Complex projects

Experience leading the execution across multiple technologies and projects

Agile methodology and experience working in a Scrum team

Designing and implementing applications for Data Integration in Azure cloud

You act like an owner. You thrive when you're empowered to take the lead, go above and beyond, and deliver results.

You embrace and champion change. You'll continuously evolve your thinking and the way you work in order to deliver your best.

HTML development (experience with html for emails is a plus)

Knowledge of Weblogic and Oracle

Knowledge of Dynatrace is a plus

EJB ( Enterprise Java Bean )

Azure cloud concepts and services

Kafka APIs, Kafka Connect, and Kafka Streams

• Experienced with Workflow Management Tools: Airflow, Crontab, CA Workload Automation

• Previous work experience in the financial sector (insurance or benefits industry)

• Experienced with working on Structured and Semi-Structured datasets

• Experienced in creating data pipelines & developing complex and optimized queries

• Experience with implementing CI / CD pipeline on GitHub, Jenkins / JGP

• Experience writing complex SQL and NoSQL jobs to analyze data in traditional DBMS (MS-SQL, Oracle) environments

• Experience in Operating & Growing Hybrid large scale DWH and Big Data Analytics Platforms

• Hands on experience in Agile & DevOps Delivery Models.

• Excellent Customer Interaction and Communication Skills

• Ability to liaise between 3rd parties, Business Team and Technical teams and create Solutions as needed

• Present alternate solutions with detailed analysis as needed

• Review, Present and Govern the Data Engineering Architecture of the Program

Good experience of more than 5 years with private and public cloud, architectures and network, pros/cons, and migration considerations.

Experience in Operating & Growing Hybrid large scale DWH and Big Data Analytics Platforms

Hands on experience in Agile & DevOps Delivery Models.

Excellent Customer Interaction and Communication Skills

Knowledge on Cloud Best Practices and Azure Frameworks.

Experience in basic networking and concepts

Proven sound experience in developing applications in Azure using Azure SQL.

Experience in Azure SQL including: creating databases, tables, stored procedures, CTEs, views, functions etc.

Senior Azure Data Developer Mandatory Skills:

Developing and maintaining Azure Data pipelines using Azure Data Factory.

Working with structured and semi structured data (csv ,json, parquet)

Proficient in current software development lifecycle processes and data development methodologies, tools, and best practices.

Experience with workflow management using Apache Airflow.

Excellent analytical and problem-solving skills to translate complex business requirements into effective data models and data architecture solutions.

At least 5 years of experience in data warehouse development, data architecture, or a similar role.

Experience developing data pipelines to ingest data from relational SQL databases such as DB2, MySQL, PostgreSQL, and MSSQL.

Experience developing, optimizing, and maintaining data warehouse solutions in Snowflake.

Extensive experience working with AWS Cloud Services.

Seeking an experienced Azure Analytics architect & developer.

4+ years of experience as an Analytics Developer utilizing Azure platform.

Experience working with the following applications:

Experience working with Agile SCRUM methodology.

Experience working with the following applications also considered an asset;

• Identify gaps between project requirement and data available.

Demonstrated knowledge and experience with Public Sector governance methodologies

Experience with Cloud Platform using PaaS, such as Azure Managed Application Services, Docker, and Kubernetes

This position is a hybrid role, requiring you to work onsite three days a week and two days from home

Provide documentation and knowledge transfer to FTE

Experience in designing and developing mobile solutions using Azure Power Platform: Power Apps, Power Automate, Power BI.

Experience in designing and developing business reporting using Crystal Reports, SQL Server Reporting Services, Power BI.