Data Engineer

Hi, I hope you are doing well. We have an urgent below position .If you are interested, please share your updated resume with the rate expectation. Role: Data Engineer Location: Remote - Canada Experience: 10+ years Job description: Role Overview • Designs, builds, and maintains data pipelines that feed performance metrics into the Databricks Operational Data Store (ODS). This role maps source systems, develops robust data schemas, and automates integrations across business applications, IT services, and core platforms to enable real-time performance reporting for Apptio Bill of IT and IT performance reporting dashboards delivered via Power BI Core Responsibilities • Data Pipeline Engineering: Develop and execute robust API, MCP (Model Context Protocol), and sFTP data ingestions from core IT and business platforms. • Databricks ODS Architecture: Design, optimize, and maintain data schemas, models, and tables within Databricks using Delta Lake and Medallion architecture (Bronze/Silver/Gold). • Data Mapping & Lineage: Map source system infrastructure to establish clear technical data lineage from raw application logs to the analytics layer. • Workflow Automation: Program and manage automated orchestration schedules using Databricks Workflows, Apache Airflow, or cron-based pipelines. • Performance Reporting Support: Deliver clean, structured, and highly performance data layers optimized for end-user BI dashboard consumption (e.g., Power BI, Tableau). Technical Qualifications • Data Platforms: 3+ years of hands-on experience building production data pipelines in Databricks using PySpark, Scala, or Advanced SQL. • Integration Techniques: Proven expertise developing custom REST API clients, handling sFTP secure transfers via script, and utilizing MCP for contextual data synchronization. • Data Modeling: Strong foundation in data warehouse modeling, schema evolution, and managing operational data stores (ODS). • Domain Knowledge: Familiarity with IT Service Management (ITSM) telemetry data, application performance monitoring (APM) tools, or core platform log schemas is a plus. -- Thanks & Regards, Anil Kumar Raas Infotek Corporation. 262 Chapman Road, Suite 105A, Newark, DE -19702 Direct No: 302-286-9932 Ext: 133 Email: anil.kumar@raasinfotek.com

The role involves designing and maintaining data pipelines that feed performance metrics into the Databricks Operational Data Store. Key tasks include automating integrations across business applications and delivering optimized data layers for Power BI dashboards.

Candidates must have over 10 years of experience, including at least 3 years of hands-on production pipeline building in Databricks using PySpark, Scala, or SQL. Expertise in REST API clients, sFTP transfers, and data warehouse modeling is required.

• Power BISouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Databricks
• PySpark
• Scala
• Advanced SQL
• Delta Lake
• Medallion Architecture
• REST API
• sFTP
• Model Context Protocol
• Apache Airflow
• Power BI
• Data Modeling
• Data Pipeline Engineering
• ETL
• Data Lineage
• ITSM Telemetry

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting

Expérience minimale

10+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Associate

Mode de candidature

La candidature directe est offerte