Rhode Island Staffing
INTL - Data Engineer - India
Rhode Island Staffing - Woonsocket, Rhode Island, us, 02895
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Overview
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Overview
Data Engineer
We are seeking a skilled Data Engineer to design, build, and maintain our data processing systems using Azure cloud technologies. The ideal candidate will leverage Databricks, Azure Data Factory (ADF), and other Azure services to transform raw data into valuable business insights while ensuring scalability, reliability, and performance of our data infrastructure. Key Responsibilities: Design and implement end-to-end data pipelines using Azure Data Factory and Databricks Develop, optimize, and maintain ETL/ELT processes to ingest data from various sources Write efficient SQL queries and stored procedures for data extraction and transformation Create and maintain Databricks notebooks using Python for data processing and analysis Implement data quality checks and monitoring solutions Collaborate with data scientists and analysts to understand data requirements Participate in code reviews and maintain documentation Implement CI/CD pipelines for data solutions using GitHub Optimize data models for performance, scalability, and cost-efficiency Ensure data security and compliance with organizational policies Compensation: $16/hr to $24/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
We are seeking a skilled Data Engineer to design, build, and maintain our data processing systems using Azure cloud technologies. The ideal candidate will leverage Databricks, Azure Data Factory (ADF), and other Azure services to transform raw data into valuable business insights while ensuring scalability, reliability, and performance of our data infrastructure. Key Responsibilities: Design and implement end-to-end data pipelines using Azure Data Factory and Databricks Develop, optimize, and maintain ETL/ELT processes to ingest data from various sources Write efficient SQL queries and stored procedures for data extraction and transformation Create and maintain Databricks notebooks using Python for data processing and analysis Implement data quality checks and monitoring solutions Collaborate with data scientists and analysts to understand data requirements Participate in code reviews and maintain documentation Implement CI/CD pipelines for data solutions using GitHub Optimize data models for performance, scalability, and cost-efficiency Ensure data security and compliance with organizational policies Compensation: $16/hr to $24/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances.