Design, build, and maintain ETL/ELT pipelines and lakehouse architectures. Write and optimize SQL in Snowflake, support cloud integrations (AWS, Lambda), enforce data governance, monitor pipelines, troubleshoot data quality, and document processes while collaborating with BI and analytics teams.
Saviynt's AI-powered identity platform manages and governs human and non-human access to all of
an organization's applications, data, and business processes. Customers trust Saviynt to safeguard
their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age,
Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is
recognized as the leader in identity security, with solutions that protect and empower the world’s
leading brands, Fortune 500 companies and government institutions. For more information, please
visit www.saviynt.com.
We are seeking a motivated Junior Data Engineer with 3-5 years of experience to join our growing data team. 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. You will contribute to designing, building, and maintaining data pipelines and infrastructure that ensure reliable, high-quality data for business decision-making.
WHAT YOU WILL BE DOING
- 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.
- Expert level knowledge of Python Scripting.
- 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.
WHAT YOU BRING
- 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 of 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.
Top Skills
Python,Sql,Snowflake,Aws,Aws Lambda,Etl/Elt,Data Lakehouse,Fivetran,Tableau,Salesforce,Azure,Agentic Ai,Iga Tools
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