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Mid LevelFull-timePythonRustAWSAzureData ScienceAgileGitAI
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a motivated Junior Data Engineer to join our growing data team at Saviynt. This entry-level role is ideal for candidates eager to build a career in data engineering, working closely with senior engineers, analysts, and BI developers.
Key Responsibilities
- →Develop, test, and maintain ETL/ELT pipelines for data ingestion and transformation.
- →Assist in designing and implementing data models, database schemas, and lakehouse architectures.
- →Write and optimize SQL queries in Snowflake for data extraction and reporting.
- →Collaborate with BI developers and analysts to ensure data accessibility and usability.
- →Monitor and troubleshoot data workflows to maintain system reliability.
- →Support migration and integration projects involving cloud platforms (e.g., AWS Lambda) and Python.
- →Document processes, pipelines, and best practices for knowledge sharing.
- →Apply AI agents for data modeling and quality assurance.
- →Manage user permissions and security roles to ensure data governance and compliance.
- →Monitor database performance and recommend improvements.
- →Troubleshoot data integration issues and resolve data quality discrepancies.
Requirements
- ✓Bachelor’s degree in computer science, Information Systems, Business Analytics, Data Science, or related field (or equivalent experience).
- ✓Up to 5 years of experience in data engineering with a strong background in SQL development.
- ✓Experience in data warehousing and data modeling concepts.
- ✓Certifications in relevant tools (e.g., SQL or Snowflake, Azure).
- ✓Experience with cloud-based BI solutions (AWS).
- ✓Familiarity with Agile development methodologies.
- ✓Knowledge of data governance, privacy, and security best practices.
- ✓Strong experience with SQL and Snowflake (queries, stored procedures, functions).
- ✓Knowledge of data warehousing and cloud platforms (AWS).
- ✓Exposure to fivetran tool (good to have).
- ✓Familiarity with agentic AI for data engineering tasks.
- ✓Exposure to reporting tools (e.g., Tableau – good to have).
- ✓Basic knowledge of ERP tools (e.g., Salesforce).
- ✓IGA Tool knowledge (good to have).
- ✓Soft Skills
- ✓Strong analytical and problem-solving abilities.
- ✓Excellent communication skills for both technical and non-technical stakeholders.
- ✓Ability to work independently and collaboratively in a team environment.
- ✓Attention to detail and commitment to quality.
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