Saviynt

Data Engineer – Operational Analytics

Saviynt

full-time

Posted on:

Location Type: Hybrid

Location: BengaluruIndia

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About the role

  • 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.

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 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)
  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ETLELTSQLPythondata modelingdatabase schemasdata warehousingdata governanceAI agentsdata quality
Soft Skills
analytical skillsproblem-solvingcommunication skillsattention to detailcollaborationindependencecommitment to quality
Certifications
SQL certificationSnowflake certificationAzure certification