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100% Remote

Contract Duration: 06 Months contract
Position is 100% remote - Work US core business hours – 6 Months

Key Skills Required
Programming: Python, SQL, Spark
Cloud Platforms: Azure, Snowflake
Data Tools: DBT, Erwin Data Modeler, Apache Airflow , API Integrations, ADF
Governance: Data masking, metadata management, SOX compliance
Soft Skills: Communication, problem-solving, stakeholder engagement

Senior Data Engineer - IRIS
As IRIS Data Engineer, you will work with Data Scientists and Data Architects to translate prototypes into scalable solutions.

Key Skills Required
Programming: Python, SQL, Spark
Cloud Platforms: Azure, Snowflake
Data Tools: DBT, Erwin Data Modeler, Apache Airflow , API Integrations, ADF
Governance: Data masking, metadata management, SOX compliance
Soft Skills: Communication, problem-solving, stakeholder engagement

Technical Skills:
7+ years of data engineering or design experience, designing, developing, and deploying scalable enterprise data analytics solutions from source system through ingestion and reporting.
5+ years of experience in ML Lifecycle using Azure Kubernetes service, Azure Container Instance service, Azure Data Factory,



Azure Monitor, Azure DataBricks building datasets, ML pipelines, experiments, logging, and monitoring. (Including Drifting, Model Adaptation and Data Collection).
5+ years of experience in data engineering using Snowflake.
Experience in designing, developing & scaling complex data & feature pipelines feeding ML models and evaluating their performance.
Experience in building and managing streaming and batch inferencing.
Proficiency in SQL and any one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA – knowledge of optimization engines such as CPLEX or Gurobi is a plus).
Solid experience with cloud platforms (AWS, Azure, etc.) and containerization technologies (Docker, Kubernetes).
Experience with CI/CD tools such as GitHub Actions, GitLab, Jenkins, or similar tools.
Familiarity with security best practices in DevOps and ML Ops.
Experience in developing and maintaining APIs (e.g.: REST)
Agile/Scrum operating experience using Azure DevOps.
Experience with MS Cloud - ML Azure Databricks, Data Factory, Synapse, among others.

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