Artic Consulting is a dynamic IT and consulting services firm, delivering digital transformation through innovative solutions in data, cloud, and business analytics. We are seeking a skilled Data Engineer with a strong focus on the Microsoft Fabric ecosystem and Application Database management, who can design and implement scalable data solutions for our clients.
Key Responsibilities:
Hands-on experience building and maintaining OLTP databases, including relational data modeling, schema design, normalization, SQL query development, indexing, transaction handling, performance troubleshooting, and data integrity controls
Design, develop, and maintain Power BI reports, dashboards, DAX expressions, KPIs, and scorecards using both Import and DirectQuery modes.
Build and orchestrate scalable ETL/ELT workflows using Fabric Data Pipelines, Dataflows Gen2, and Azure Data Factory.
Write and tune complex T-SQL and KQL queries, stored procedures, and views for performance in Synapse SQL and SQL Server environments.
Implement data models based on star/snowflake schemas and support modern data warehousing and Lakehouse architectures using Microsoft Fabric.
Manage and optimize Azure SQL application databases, including schema design, indexing strategies, stored procedures, query optimization, data integrity, security, monitoring, backup/recovery awareness, and operational reliability for client-facing business applications.
Partner with application, analytics, and client teams to ensure Azure SQL transactional databases are performant, secure, well-structured, and ready for integration with reporting, data warehousing, Microsoft Fabric, and AI/ML workloads.
integrate structured and unstructured data sources (e.g., SQL, Excel, APIs, Blob Storage), and transform them efficiently using Fabric Notebooks (Spark/PySpark) or Dataflows.
Diagnose and resolve pipeline failures, logic errors, and performance bottlenecks across the data engineering lifecycle.
Automate repetitive data processes using Azure Functions, Logic Apps, PowerShell, or Python scripting within the Fabric ecosystem.
Collaborate with stakeholders to gather business requirements and translate them into scalable data solutions.
Ensure data governance, privacy, and compliance standards (e.g., GDPR, HIPAA, ISO) are adhered to, including sensitive data handling policies.
Apply best practices for item-level security, workspace-based access models, and data lineage using Microsoft One Lake and Fabric tools.
Utilized AI-assisted tools such as GitHub Copilot and Microsoft Copilot to accelerate SQL development, data pipeline implementation, code reviews, troubleshooting, and performance optimization.
Support AI initiatives by preparing, transforming, and managing high-quality datasets for model training and inference.
Integrate AI-powered services such as Azure AI Services, Azure OpenAI, and Microsoft Fabric AI capabilities into data solutions.
Develop and maintain data pipelines that support Generative AI, predictive analytics, and machine learning workloads.
Required Qualifications:
Bachelor's or master's degree in computer science, Information Systems, or related field.
Demonstrated hands-on experience in Power BI development and data engineering, including building enterprise dashboards and semantic models, developing DAX calculations, implementing ETL/ELT pipelines, integrating multiple data sources, optimizing data models and queries, and supporting production data workloads.
Strong expertise in T-SQL and KQL, with demonstrated query optimization skills.
Hands-on experience managing Azure SQL Database environments, including performance tuning, index optimization, stored procedures, query troubleshooting, database security, and operational support for application workloads.
Proficiency in Microsoft Fabric tools: Data Pipelines, Dataflows Gen2, OneLake, Notebooks.
Hands-on experience with Spark/PySpark and data integration from varied sources.
Microsoft Certified: Fabric Data Engineer Associate (DP-700) – preferred for candidates specializing in Microsoft Fabric.
Additional Microsoft certifications such as PL-300 (Power BI Data Analyst Associate) or relevant Azure certifications are an advantage.
Preferred Skills:
Experience debugging and optimizing advanced SQL queries, database objects, and legacy components.
Ability to implement database security models and data protection policies.
Experience using Azure SQL monitoring and tuning capabilities such as Query Store, Query Performance Insight, Database Advisor recommendations, and Azure portal metrics to identify and resolve performance bottlenecks.
Expertise in implementing row-level security, dynamic data masking, and role-based access control within Microsoft Fabric and Power BI environments.
Familiarity with Microsoft One Lake architecture, including data cataloging, lineage tracking, item-level security, and workspace-based access management.
Proven ability to operate effectively in dynamic, client-facing environments, delivering scalable and compliant data solutions with a focus on performance and quality.
Why Join Artic Consulting?
Competitive salary and performance-based bonuses.
Flexible working hours and remote work options.
Opportunities for professional development and certifications.
Collaborative and inclusive work environment.
Training budget for learning new skills and technologies.
... product teams, business partners, and cybersecurity, to identify and clarify requirements for data-driven features and products. They independently understand the data ecosystem, security, privacy, and retention requirements necessary to support business and product features. Sr. Data Engineers create and document technical ...
... unstructured data handling, data modeling, and streaming from Kafka/Event Hubs Requirements Required Qualifications: - 7-8+ years in data engineering, with deep Azure Databricks expertise for big data processing in high-demand environments - Advanced proficiency in Python/PySpark, SQL, Scala; strong data architecture and distributed ...
... to 20 days Interview process: 3 rounds, 1 in-person round may be required Role Overview Seeking a highly skilled Senior Data Engineer with deep expertise in Databricks, Real-Time Data Processing, Lakehouse Architecture, and AI-driven solutions. The role involves designing, developing, and supporting scalable data platforms ...
... looking for an experienced Sr. QA Data Engineer to join our Data Engineering team and take ownership of the quality, accuracy, consistency, and reliability of our data pipelines and data-driven systems. The ideal candidate will have strong hands-on experience in Data Testing, ETL/ELT Testing, Database Testing, SQL, Python, Apache ...
... developing high-performing data engineering teams - Bachelor's degree in computer science/engineering with 12+ years experience, or Master's with 11+ years - Strong problem-solving, analytical, and critical thinking abilities for complex data challenges - AWS Certified Data Engineer or Databricks Certificate preferred []
... Perform exploratory data analysis, feature engineering, and support data quality assessment Requirements - Bachelor's or Master's degree in Computer Science, Engineering, or related field - 5–8 years of IT or Information Systems experience - Hands-on experience with big data platforms such as Databricks, PySpark, and SparkSQL ...
Thermo Fisher Scientific seeks a Senior Data Platform Engineer with 10+ years of analytics platform experience and 5+ years of hands-on Databricks expertise. This role involves designing, building, and operating secure, scalable data platforms that deliver reliable data, AI, and analytics solutions across the organization ...
... Systems or another quantitative field would be an advantage - Ability to work as a Data Engineer with minimum 2-3years of experience. - Demonstrates expertise in data modeling, ETL development, and Data warehousing - Knowledge of data management fundamentals and data storage principles - Experience with Python or similar programming ...
... world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you. Job Description Job Summary A Senior Data Engineer at Visa plays a pivotal role within a cross-disciplined agile team, contributing to the product backlog and delivering critical features to enhance data presentation ...
... is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience. We're looking for an engineer to ensure the reliable operation of production environments for our Data Infrastructure and products, running at scale on large-volume distributed cloud systems. ...