MetroPlusHealth · 11 hours ago

Data Warehouse Developer

New York, NY

Full-time

Remote

Senior Level, Lead/Staff

$130K/yr - $140K/yr

10+ years exp

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Responsibilities

Design and develop data warehouses and data marts to support data analysis and reporting.

Interact with end users and business analysts to understand requirements.

Develop SQL Server objects including, but not limited, to stored procedures, functions, and views.

Design and implement technology best practices, guidelines, and repeatable processes.

Create data validation rules on source data to confirm the data has correct and/or expected values.

Perform data profiling of source data to identify data quality issues and anomalies, business knowledge embedded in data, gathering of natural keys, and metadata information.

Leverage Databricks to optimize and accelerate processing and analytics tasks.

Collaborate with Databricks Administrator to ensure optimal cluster configuration.

Implement data quality and data governance policies to ensure data accuracy and consistency

Participate in the development/implementation of master data management (MDM) strategies and solutions within complex system landscapes.

Develop Azure Databricks data engineering, AI, and machine learning tasks

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Azure DatabricksSQL ServerSSISPythonAWSAzureGoogle CloudPower BISalesforceMuleSoftVisual Studio .NetHealth care experienceFunctional/Technical skillsCustomer FocusWritten/Oral Communication

Required

Bachelor’s degree in computer science or related field.

10+ years of relevant professional experience.

5 years’ experience with Databricks Lakehouse Platform

Strong SQL skills for data manipulation and query optimization

Knowledge of Python is required.

Proficiency in cloud platforms like AWS, Azure, or Google Cloud.

Hands on experience on unified data analytics platform with Azure Databricks, Databricks Workspace user interface, managing Notebooks, Delta Lake with Python.

Strong experience using SSIS as the ETL tool in a data warehouse environment.