Qureos Mentor

Seaspan Corporation

Position Description:We are seeking a hands-on and innovative Data Analyst &ndash; Power Platform Specialist to join our Data Development team. Reporting to the Team Lead, Data Development, the Data Analyst &ndash; Power Platform Specialist develops user-centric applications, automation workflows, and insightful dashboards using Microsoft Power Platform tools.If you're a natural problem solver with a creative mindset and the technical skills to bring ideas to life, we want to hear from you. This is a great opportunity to design scalable, intuitive tools that make a measurable impact across the business. You will work closely with cross-functional teams and developers to ensure cohesive, end-to-end solutions.Job Responsibilities:<ul><li>Design, build, and deploy Model-Driven Power Apps using Dataverse and custom logic</li><li>Develop efficient and reliable Power Automate flows to automate manual tasks</li><li>Create impactful, interactive Power BI dashboards to support data-driven decision-making</li><li>Build robust, scalable data models that support app functionality and reporting</li><li>Apply UI/UX design principles to deliver clean, user-friendly interfaces</li><li>Proactively identify opportunities for improvement and automation</li><li>Perform data validation and quality checks</li><li>Use design thinking and agile methodologies to deliver practical, forward-thinking solutions</li><li>Balance short-term needs with long-term scalability and maintainability</li><li>Write clear, structured documentation for app logic, architecture, and user flows</li><li>Work closely with cross-functional teams and developers to gather requirements, align solutions, and support development lifecycle</li><li>Communicate technical concepts effectively to both technical and non-technical stakeholders</li></ul>Requirements:<ul><li>2+ years of hands-on experience with Power BI</li><li>4+ years of hands-on experience with Power Automate, and Model-Driven Power Apps</li><li>Bachelor's degree in computer science or a relevant field, or equivalent training and work experience</li><li>Strong understanding of Dataverse and Power Platform architecture</li><li>Demonstrated problem-solving skills and ability to design creative, scalable solutions</li><li>Knowledge of UI/UX best practices and ability to translate ideas into functional prototypes</li><li>Strong documentation and communication skills</li><li>Collaborative team player who thrives in a fast-paced, evolving environment</li><li>Ability to work independently, take initiative, and drive innovation</li><li>Excellent communication skills with a focus on translating business needs into data solutions</li></ul>Additional Desired Qualifications:<ul><li>Experience with DAX, Power Query (M), or SQL</li><li>Exposure to agile development and DevOps tools for Power Platform</li><li>Familiarity with enterprise data integration patterns or ALM (Application Lifecycle Management)</li><li>Relevant certifications in related fields are a plus.</li></ul>Job Demands and/or Physical Requirements:<ul><li>As Seaspan is a global company, occasional work outside of regular office hours may be required.</li></ul>Job Type: Full-timePay: &#8377;1,700,000.00 - &#8377;2,500,000.00 per yearBenefits:<ul><li>Cell phone reimbursement</li><li>Commuter assistance</li><li>Flexible schedule</li><li>Internet reimbursement</li><li>Life insurance</li></ul>Work Location: In person

Power Platform Data Specialist

Position Description:We are seeking a skilled Databricks Developer to join our Data Development team. Reporting to the Team Lead, Data Development, the Databricks Developer implements robust data pipelines using Apache Spark on Databricks, supports advanced data transformation, and enables scalable data products that serve enterprise analytics and reporting needs. You&rsquo;ll work closely with data engineers and analysts to ensure high-performance, reliable data pipelines and quality outputs.This is a hands-on development role focused on engineering scalable, maintainable, and optimized data flows in a modern cloud-based environment.Job Responsibilities:<ul><li>Design, build, and maintain scalable data pipelines and workflows using Databricks (SQL, PySpark, Delta Lake).</li><li>Develop efficient ETL/ELT pipelines for structured and semi-structured data using Azure Data Factory (ADF) and Databricks notebooks/jobs.</li><li>Integrate and transform large-scale datasets from multiple sources into unified, analytics-ready outputs.</li><li>Optimize Spark jobs and manage Delta Lake performance using techniques such as partitioning, Z-ordering, broadcast joins, and caching.</li><li>Design and implement data ingestion pipelines for RESTful APIs, transforming JSON responses into Spark tables.</li><li>Apply best practices in data modeling and data warehousing concepts.</li><li>Perform data validation and quality checks.</li><li>Work with various data formats, including JSON, Parquet, and Avro.</li><li>Build and manage data orchestration pipelines, including linked services and datasets for ADLS, Databricks, and SQL Server.</li><li>Create parameterized and dynamic ADF pipelines, and trigger Databricks notebooks from ADF.</li><li>Collaborate closely with Data Scientists, Data Analysts, Business Analysts, and Data Architects to deliver trusted, high-quality datasets.</li><li>Contribute to data governance, metadata documentation, and ensure adherence to data quality standards.</li><li>Use version control tools (e.g., Git) and CI/CD pipelines to manage code deployment and workflow changes.</li><li>Develop real-time and batch processing pipelines for streaming data sources such as MQTT, Kafka, and Event Hub.</li></ul>Requirements:<ul><li>5+ years of experience in data engineering or big data development.</li><li>Bachelor's degree in computer science or a relevant field, or equivalent training and work experience</li><li>Strong hands-on experience with Databricks and Apache Spark (PySpark/SQL).</li><li>Proven experience with Azure Data Factory, Azure Data Lake, and related Azure services.</li><li>Experience integrating with APIs using libraries such as requests and http.</li><li>Deep understanding of Delta Lake architecture, including performance tuning and advanced features.</li><li>Proficiency in SQL and Python for data processing, transformation, and validation.</li><li>Familiarity with data lakehouse architecture and both real-time and batch processing design patterns.</li><li>Comfortable working with Git, DevOps pipelines, and Agile delivery methodologies</li></ul>Additional Desired Qualifications:<ul><li>Experience with dbt, Azure Synapse, or Microsoft Fabric.</li><li>Familiarity with Unity Catalog features in Databricks.</li><li>Relevant certifications such as Azure Data Engineer, Databricks, or similar.</li><li>Understanding of predictive modeling, anomaly detection, or machine learning, particularly with IoT datasets.</li></ul>Job Demands and/or Physical Requirements:<ul><li>As Seaspan is a global company, occasional work outside of regular office hours may be required.</li></ul>Job Type: Full-timePay: &#8377;1,700,000.00 - &#8377;2,500,000.00 per yearBenefits:<ul><li>Cell phone reimbursement</li><li>Commuter assistance</li><li>Flexible schedule</li><li>Internet reimbursement</li><li>Life insurance</li></ul>Work Location: In person

Databricks Developer

Position Description:We are seeking a highly skilled and versatile Cloud Data Specialist to join our Data Operations team. Reporting to the Team Lead, Data Operations, the Cloud Data Specialist plays a key role in the development, administration, and support of our Azure-based data platform, with a particular focus on Databricks, data pipeline orchestration using tools like Azure Data Factory (ADF), and environment management using Unity Catalog. A strong foundation in data engineering, cloud data administration, and data governance is essential. Development experience using SQL and Python is required. Knowledge or experience with APIM is nice to have.Job Responsibilities:Data Engineering and Platform Management:<ul><li>Design, develop, and optimize scalable data pipelines using Azure Databricks and ADF.</li><li>Administer Databricks environments, including user access, clusters, and Unity Catalog for data lineage, governance, and security.</li><li>Support the deployment, scheduling, and monitoring of data workflows and jobs in Databricks and ADF.</li><li>Implement best practices for CI/CD, version control, and operational monitoring for pipeline deployments.</li><li>Implement and manage Delta Lake to ensure reliable, performant, and ACID-compliant data operations.</li></ul>Data Modeling and Integration:<ul><li>Collaborate with business and data engineering teams to design data models that support analytics and reporting use cases.</li><li>Support integration of data from multiple sources into the enterprise data lake and data warehouse</li><li>Configure API calls to utilize our Azure APIM platform.</li><li>Maintain and enhance data quality, structure, and performance within the Lakehouse and warehouse architecture.</li></ul>Collaboration and Stakeholder Engagement:<ul><li>Work cross-functionally with business units, data scientists, BI analysts, and other stakeholders to understand data requirements.</li><li>Translate technical solutions into business-friendly language and deliver clear documentation and training when required.</li></ul>Required Technical Expertise:Apache Spark (on Databricks)<ul><li>Proficient in PySpark and spark SQL</li><li>Spark optimization techniques (caching, partitioning, broadcast joins)</li><li>Writing and scheduling notebooks/jobs in Databricks</li><li>Understanding of Delta Lake architecture and features</li><li>Working with Databricks Workflows (pipelines and job orchestration)</li></ul>SQL/Python Programming<ul><li>Handling JSON, XML, and other semi-structured formats</li><li>Experience with API integration using requests, http, etc.</li><li>Error handling and logging</li></ul>API Ingestion<ul><li>Designing and implementing ingestion pipelines for RESTful API</li><li>Transforming and loading JSON responses to Spark tables</li></ul>Cloud &amp; Data Platform Skills<ul><li>Databricks on Azure</li><li>Cluster configuration and management</li><li>Unity Catalog features (optional but good to have)</li></ul>Azure Data Factory<ul><li>Creating and managing pipelines for orchestration</li><li>Linked services and datasets for ADLS, Databricks, SQL Server</li><li>Parameterized and dynamic ADF pipelines</li><li>Triggering Databricks notebooks from ADF</li></ul>Data Engineering Foundations<ul><li>Data modeling and warehousing concepts</li><li>ETL/ELT design patterns</li><li>Data validation and quality checks</li><li>Working with structured and semi-structured data (JSON, Parquet, Avro)</li></ul>DevOps &amp; CI/CD<ul><li>Git/GitHub for version control</li><li>CI/CD using Azure DevOps or GitHub Actions for Databricks jobs</li></ul>Infrastructure-as-code (Terraform for Databricks or ADF)Additional Requirements:<ul><li>Bachelor's degree in computer science, information systems, or a related field.</li><li>4+ years of experience in a cloud data engineering, data platform, or analytics engineering role.</li><li>Familiarity with data governance, security principles, and data quality best practices.</li><li>Excellent analytical thinking and problem-solving skills.</li><li>Strong communication skills and ability to work collaboratively with technical and non-technical stakeholders.</li><li>Microsoft certifications in Azure Data Engineer, Power Platform, or related field is desired</li><li>Experience with Azure APIM is nice to have</li><li>Knowledge of enterprise data architecture and data warehouse principles (e.g., dimensional modeling) an asset</li></ul>Job Demands and/or Physical Requirements:<ul><li>As Seaspan is a global company, occasional work outside of regular office hours may be required.</li></ul>Job Type: Full-timePay: &#8377;2,100,000.00 - &#8377;3,000,000.00 per yearBenefits:<ul><li>Cell phone reimbursement</li><li>Commuter assistance</li><li>Flexible schedule</li><li>Internet reimbursement</li><li>Life insurance</li></ul>Work Location: In person

Cloud Data Specialist

Join Seaspan Corporation and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Seaspan Corporation

ABOUT_COMPANY

Power Platform Data Specialist

Databricks Developer

Cloud Data Specialist