Data Integration Engineer

Salary: DOE

Description

Job Description:

The Data Integration Engineer will play a crucial role in designing, implementing, and managing data integration solutions to ensure seamless data flow between systems applications using SSIS, Kafka, MuleSoft & Salesforce.

Candidate should have strong knowledge and capability to ensure various data quality checks in Data & Integration platforms by using SQL, SOQL and or other database query languages. Familiarity with data integration process and tool is required.

Skills Years Of Experience

Highly Desired Skills (Critical to Success)

Salesforce Experience (3-5 years): Expertise in creating custom queries using SOQL, integrating data with external systems, and understanding Salesforce objects, data structure, and data management best practices.

Data & Integration Platforms (3-4 years): Extensive knowledge of internal operational data stores and database architecture, including SQL Server, MongoDB, Snowflake, with proficiency in relational and non-relational concepts.

Secure Data Transfer: Ensure secure data transfer mechanisms are in place to protect sensitive information.

Efficiency Improvement: Identify opportunities to improve the efficiency of data integration processes.

Issue Diagnosis and Resolution: Diagnose and resolve data integration issues promptly to minimize downtime.

Support and Recommendations: Provide support and recommendations for complex integration challenges.

API Proficiency: Experience with APIs and data exchange protocols.

Communication Skills: Strong communication skills with technical and non-technical stakeholders.

Impact Analysis: Analyze and review potential adjustments or modifications for impacts on other programs. 3-5 Years as Data Integration Engineer or Analyst

3-5 years in Salesforce

Requirements

Apache Kafka, Cloud Technologies, Data Visualization, Algorithm Implementation, Analytics, API Development, Azure SQL Database, MS SQL Server, SSAS SSIS, MuleSoft, Data Integration

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