J's Consulting & Solutions - Irving, TX

posted about 2 months ago

Full-time - Mid Level
Irving, TX

About the position

We are seeking a highly skilled ETL Developer/Data Developer/Data Engineer to join our team. This position requires a strong technical background and expertise in various data engineering tools and technologies. The ideal candidate will be responsible for designing, developing, and maintaining ETL processes to ensure efficient data integration and transformation. You will work closely with data architects and other stakeholders to understand data requirements and implement solutions that meet business needs. In this role, you will leverage Azure Data Factory and Databricks to build robust data pipelines. Your proficiency in SQL will be crucial for querying and manipulating data, as well as for optimizing performance. You will also be expected to work with SSIS for data integration tasks and have a strong understanding of API interactions to facilitate data exchange between systems. As part of our team, you will be involved in troubleshooting and resolving data-related issues, ensuring data quality, and implementing best practices for ETL development. Your ability to communicate technical concepts to non-technical stakeholders will be essential for the success of this role. We are looking for someone who is not only technically proficient but also passionate about data and eager to contribute to our data-driven initiatives.

Responsibilities

  • Design, develop, and maintain ETL processes using Azure Data Factory and Databricks.
  • Implement data integration solutions using SSIS.
  • Write complex SQL queries for data manipulation and analysis.
  • Work with APIs to facilitate data exchange between systems.
  • Troubleshoot and resolve data-related issues to ensure data quality.
  • Collaborate with data architects and stakeholders to gather data requirements.
  • Optimize ETL processes for performance and scalability.

Requirements

  • Strong experience with Azure Data Factory for ETL development.
  • Proficiency in Databricks for data processing and analytics.
  • Extensive knowledge of SSIS for data integration tasks.
  • Strong SQL skills for querying and manipulating data.
  • Experience with API development and integration.
  • Ability to troubleshoot and resolve data quality issues.

Nice-to-haves

  • Familiarity with cloud data warehousing solutions.
  • Experience with data modeling and database design.
  • Knowledge of data governance and compliance standards.

Benefits

  • Competitive salary
  • Health insurance
  • 401k plan
  • Flexible working hours
  • Professional development opportunities
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