Software Database Engineer 4 - Aditi Consulting
Mountain View, CA 94043-0000
About the Job
Summary:
The main function of the Engineer is to design, collect, and process data within Azure. This role involves the development of data acquisition tooling and reporting to derive product insights and better align the product to its design specifications.
Job Responsibilities:
Skills:
Top 3 Hard Skills Required + Years of Experience
Education/Experience:
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
The main function of the Engineer is to design, collect, and process data within Azure. This role involves the development of data acquisition tooling and reporting to derive product insights and better align the product to its design specifications.
Job Responsibilities:
- Attend and contribute to daily team syncs
- Takes ownership of data analytics projects and drives adoption and insights to our data consumers.
- Design, develop, document robust data flow processes
- Build and manage data pipelines using Azure Data Factory and Azure Synapse.
- Monitor and optimize the performance of data systems to ensure they operate efficiently and securely.
- Provide support for customer issues, outages, and new feature requests.
- Collaborate with cross-functional teams to integrate disparate datasets into a common data view
- Responsible for system health and monitoring and ETL development and support
- Contribute clear and accurate documentation and user guides to enable data consumers
- Strong ability to use azure tooling to create data pipelines, security configurations, and automation. C# or Python coding work that would be done to configure Azure functions or to set up automated processes. Azure Synapse understanding would be necessary for ADF pipeline functions
Skills:
- Creativity, verbal and written communication skills, analytical and problem-solving ability.
- Team player and detail oriented.
- 4-5+ years of experience with Azure data infrastructure, including Azure Synapse, Azure Data Factory, and Azure SQL
- Experience understanding and performing azure process optimization
- 8-10+ years of experience with file formatting (CSV, JSON, HTML) and data transport into SQL databases.
- Strong analytical and problem-solving abilities.
Top 3 Hard Skills Required + Years of Experience
- 8-10+ Years of Experience with data pipeline development, ETL, data warehouse design, preference for experience in using Azure Synapse, Azure Data Factory, Azure SQL
- 8-10+ Years of experience with a programing language, Python or C#
- Experience troubleshooting and resolving complex issues
Education/Experience:
- 8-10 years of experience in data engineering or a related field.
Compensation:
The pay rate range above is the base hourly pay range that Aditi Consulting reasonably expects to pay someone for this position (compensation may vary outside of this range depending on several factors, including but not limited to, a candidate’s qualifications, skills, competencies, experience, location and end client requirements).
Benefits and Ancillaries:
Medical, dental, vision, PTO benefits and ancillaries may be available for eligible Aditi Consulting employees and vary based on the plan options selected by the employee.
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.
Source : Aditi Consulting