Software Engineer -Azure Data Factory ,Snowflake
Jobs via Dice · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Build cloud data pipelines with Azure Data Factory.
- Leverage Snowflake architecture for data processing.
- Utilize Fivetran, HVR, and dbtLabs for data.
- Design scalable cloud data architecture.
- Focus on data integrity and production support.
About the role
About Relevance Lab Inc.
Relevance Lab Inc. is seeking a talented Software Engineer with expertise in Azure Data Factory and Snowflake to join their dynamic team. Apply via Dice today!
Responsibilities
- Develop and maintain cloud-based data pipelines using Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
- Utilize Snowflake architecture, including streams, tasks, and pipeline processing, for efficient data handling.
- Implement data ingestion using tools like Fivetran and HVR, and perform transformations with dbtLabs.
- Design and support scalable cloud data architectures, understanding both batch and near real-time integration patterns.
- Integrate Git, CI/CD, and Azure DevOps into data engineering workflows.
- Document ETL designs, data mappings, and overall architecture.
- Ensure data integrity, governance, lineage, and provide production support including monitoring and performance tuning.
Key skills/competency
- Azure Data Factory
- Snowflake
- Data Pipelines
- Data Ingestion
- dbtLabs
- Cloud Data Architecture
- Git
- CI/CD
- Azure DevOps
- ETL
Skills & topics
- Software Engineer
- Azure Data Factory
- Snowflake
- Data Pipelines
- Data Engineering
- Cloud Data Architecture
- ETL
- Data Ingestion
- dbtLabs
- Azure DevOps
- CI/CD
- Data Governance
- Production Support
- ADLS
- Fivetran
- HVR
How to get hired
- Tailor your resume: Highlight experience with Azure Data Factory, Snowflake, and data pipeline development to match the job description.
- Showcase your skills: Emphasize your understanding of data ingestion tools, transformation processes, and cloud architecture in your application.
- Prepare for technical questions: Be ready to discuss your experience with Git, CI/CD, Azure DevOps, and data governance.
- Demonstrate problem-solving: Be prepared to share examples of how you've handled data integrity, monitoring, and performance tuning challenges.
- Understand the company: Research Relevance Lab Inc. to show your interest and alignment with their goals.
Technical preparation
Practice Azure Data Factory pipeline design.,Build sample data pipelines in Snowflake.,Implement transformations using dbtLabs.,Set up CI/CD for data projects.
Behavioral questions
Describe a complex data pipeline challenge.,How do you ensure data integrity?,Share an experience with performance tuning.,How do you collaborate on code with Git?
Frequently asked questions
- What are the primary technologies for this Software Engineer role at Relevance Lab Inc.?
- This Software Engineer role at Relevance Lab Inc. primarily focuses on Azure Data Factory (ADF), ADLS, and Snowflake architecture. Experience with data ingestion tools like Fivetran, HVR, and transformation tools like dbtLabs is also crucial.
- What level of experience is expected for the Software Engineer position?
- While not explicitly stated, the description implies a need for strong knowledge and the ability to design and support scalable cloud data architecture, suggesting at least a mid-level to senior experience is preferred for this Software Engineer role.
- Does this Software Engineer role involve remote work?
- The job description does not specify the work arrangement. It is best to assume an on-site or hybrid role unless explicitly stated otherwise by Jobs via Dice or Relevance Lab Inc. during the application process.
- What are the key responsibilities for this Software Engineer position?
- Key responsibilities include developing and maintaining cloud-based data pipelines, utilizing Snowflake for data processing, implementing data ingestion and transformation, designing scalable cloud data architecture, and ensuring data integrity and production support.
- How can I best highlight my qualifications for the Software Engineer role on my resume?
- To best highlight your qualifications for this Software Engineer role, focus on quantifying your achievements with Azure Data Factory, Snowflake, and data pipeline projects. Include specific examples of your experience with data ingestion, transformation (dbtLabs), and cloud architecture design.