Sr. Data Engineer

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.
• Expert Level knowledge in snowflake.
• Strong experience with SQL and scripting (queries, stored procedures, functions).
• Exposure of fivetran tool (good to have)
• Experience in data warehousing and data modeling concepts.
• Familiarity with agentic AI for data engineering tasks
• Certifications in relevant tools (e.g., SQL or Snowflake, Azure).
• Exposure to reporting tools (e.g., Tableau – good to have).
• Experience with cloud-based BI solutions (AWS).
• Familiarity with Agile development methodologies.
• Basic knowledge of ERP tools (e.g., Salesforce).
• Knowledge of data governance, privacy, and security best practices.
• 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.