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INTL - Data Engineer - India

INTL - Data Engineer - India

Insight GlobalWoonsocket, RI, United States
1 day ago
Job type
  • Full-time
Job description

Summary :

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 $21 / 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 diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity / affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and / or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy :

Required Skills & Experience

Required Skills & Experience

  • Bachelors, Master's or Ph.D. degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of experience in data engineering roles
  • Strong proficiency in SQL for complex data manipulation and querying
  • Python and PySpark programming expertise with focus on data processing libraries
  • Hands-on experience with Azure Databricks and Delta Lake
  • Experience building and orchestrating data pipelines with Azure Data Factory
  • Familiarity with Azure services such as Azure SQL, Azure Storage, Azure Synapse Analytics
  • Experience with version control using GitHub and CI / CD practices
  • Knowledge of data modeling techniques and best practices
  • Understanding of data warehousing concepts and dimensional modeling
  • Experience with data large-scale data processing
  • Nice to Have Skills & Experience

    Preferred Qualifications

  • Knowledge of Azure DevOps for pipeline automation
  • Familiarity with real-time data processing technologies
  • Experience with NoSQL databases
  • Azure certifications (Data Engineer, Solutions Architect)
  • Experience with data visualization tools (Power BI, Tableau)
  • Understanding of data governance and compliance requirements
  • 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.

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    Data Engineer • Woonsocket, RI, United States

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