Sr. Data Engineer job opportunity at Saviynt.



Date2026-02-26 bot
Saviynt Sr. Data Engineer
Experience: 8-years
Pattern: Full-Time
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loacation Bengaluru, India
loacation Bengaluru....India
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<p>Saviynt's AI-powered identity platform manages and governs human and non-human access to all of</p> <p>an organization's applications, data, and business processes. Customers trust Saviynt to safeguard</p> <p>their digital assets, drive operational efficiency, and reduce compliance costs. Built for the AI age,</p> <p>Saviynt is today helping organizations safely accelerate their deployment and usage of AI. Saviynt is</p> <p>recognized as the leader in identity security, with solutions that protect and empower the world’s</p> <p>leading brands, Fortune 500 companies and government institutions. For more information, please</p> <p>visit <a rel="noopener noreferrer" href="http://www.saviynt.com/" class="postings-link">www.saviynt.com</a>.</p> <p>&nbsp;</p> <p>We are seeking a motivated <strong>Sr. Data Engineer</strong> with 5-8 years of experience in snowflake to join our growing data team. This role is ideal for candidates eager to build a career in data engineering, working closely with Business, 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.</p>\n<p></p><p><br></p><b>WHAT YOU WILL BE DOING</b><ul> <li>Develop, test, and maintain ETL/ELT pipelines for data ingestion and transformation.</li> <li>Assist in designing and implementing data models, database schemas, and lakehouse architectures.</li> <li>Write and optimize SQL queries in Snowflake for data extraction and</li> <li>reporting.</li> <li>Collaborate with BI developers and analysts to ensure data accessibility and usability.</li> <li>Monitor and troubleshoot data workflows to maintain system reliability.</li> <li>Support migration and integration projects involving cloud platforms (e.g., AWS Lambda) and Python.</li> <li>Expert level knowledge of Python Scripting.</li> <li>Document processes, pipelines, and best practices for knowledge sharing.</li> <li>Apply AI agents for data modeling and quality assurance.</li> <li>Manage user permissions and security roles to ensure data governance and compliance.</li> <li>Monitor database performance and recommend improvements.</li> <li>Troubleshoot data integration issues and resolve data quality discrepancies.</li> </ul><p><br></p><b>WHAT YOU BRING</b><ul> <li>Bachelor’s degree in computer science, Information Systems, Business Analytics, Data Science, or related field (or equivalent experience).</li> <li>Up to 5 years of experience in data engineering with a strong background in SQL development.</li> <li>Expert Level knowledge in snowflake.</li> <li>Strong experience with SQL and scripting (queries, stored procedures, functions).</li> <li>Exposure of fivetran tool (good to have)</li> <li>Experience in data warehousing and data modeling concepts.</li> <li>Familiarity with agentic AI for data engineering tasks</li> <li>Certifications in relevant tools (e.g., SQL or Snowflake, Azure).</li> <li>Exposure to reporting tools (e.g., Tableau – good to have).</li> <li>Experience with cloud-based BI solutions (AWS).</li> <li>Familiarity with Agile development methodologies.</li> <li>Basic knowledge of ERP tools (e.g., Salesforce).</li> <li>Knowledge of data governance, privacy, and security best practices.</li> </ul> <div>&nbsp;</div> <div>&nbsp;</div> <ul> <li>Soft Skills</li> <li>Strong analytical and problem-solving abilities.</li> <li>Excellent communication skills for both technical and non-technical stakeholders.</li> <li>Ability to work independently and collaboratively in a team environment.</li> <li>Attention to detail and commitment to quality.</li> </ul> <div>&nbsp;</div><p><br></p><p></p>\n

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