Data Engineer

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Snowflake, Databricks, and Spark.
• Write and optimize complex SQL queries to transform and analyze large datasets.
• Manage and integrate data from both relational (SQL) and non-relational (NoSQL) databases.
• Ensure data quality and reliability through robust data validation and testing.

Data Engineer (Business Intelligence & Reporting):

• Develop and maintain data models that support reporting and dashboarding.
• Create and manage interactive dashboards and reports using tools like Tableau, Sigma, or other similar dashboard platforms.
• Work closely with business stakeholders to understand their data needs and deliver effective visualization solutions.
• Ensure the accuracy and performance of all reporting data.

Data Engineer (System Integration):

• Design and implement data integration solutions for platforms like Salesforce and other third-party interfaces (e.g., Data Falls).
• Develop API-based data extraction and ingestion processes.
• Collaborate with application teams to ensure seamless data flow and integrity across different systems.
• Monitor and troubleshoot data integration jobs to ensure timely and accurate data delivery