DATA INTEGRATION SPECIALIST SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: September 27, 2024 - The Data Integration Specialist possesses in-depth experience in API management solutions like Apigee and Mashery, alongside a robust ability to drive external API development. Expertise in SQL, DAX, Power BI, and Microsoft automation tools, coupled with advanced skills in Salesforce CRM and Excel, enhances proficiency in delivering complex data integration solutions. A proven leader in data integration efforts, this professional thrives in both independent and team settings, with significant experience as a data lead-in small company environments.

Essential Hard and Soft Skills for a Standout Data Integration Specialist Resume
  • ETL Processes
  • Data Mapping
  • SQL
  • API Integration
  • Data Warehousing
  • Data Migration
  • Data Quality Management
  • Business Intelligence Tools
  • System Architecture Design
  • Cloud Platforms
  • Communication
  • Problem-Solving
  • Time Management
  • Adaptability
  • Collaboration
  • Attention to Detail
  • Critical Thinking
  • Creativity
  • Leadership
  • Conflict Resolution

Summary of Data Integration Specialist Knowledge and Qualifications on Resume

1. BS in Computer Science with 5 years of experience

  • Exposure to programming languages/tools including C#, Java, Python, Ruby, Scala, SQL, and scripting (Java, Python, Spark, SQL, Hive, JavaScript, Shell).
  • Ability to lead, or be directly involved with, the investigation and resolution of incidents and complex data issues in a production setup.
  • Strong experience in Creating Data Flow Pipelines using the Informatica ETL tool
  • Experience in building and designing REST, SOAP, and XML over HTTP APIs
  • Ability to drive architectural and design discussions with the stakeholders
  • Proven ability to communicate ideas and obtain buy-in with audiences at various technical and business levels
  • Presentation skills with a high degree of comfort speaking with executives, IT management, and engineers
  • Exceptional skills in relational database systems (MS SQL Server, MySQL, Oracle)
  • Strong ability with dimensional data modeling and OLAP principles
  • Experience working with ETL tools (Informatica Cloud)
  • Experience with flat file automation (pull, post)

2. BA in Data Analytics with 10 years of experience

  • Experience in design, development, and implementation with distributed applications involving Data Warehouses and Data Marts. 
  • Expertise in the development of integration processes using iPaaS
  • Experience in data integration a lead role, preferably in the Retail industry.
  • Experience in MuleSoft/Talend ETL with both batch and real-time or near real-time data integration
  • Conversant with Metadata driven architectures (metadata tagging, data classifications, lineage, discovery)
  • Experience in data modeling, data design, and persistence (e.g. warehousing, data marts, data lakes).
  • Understanding of AWS Data Services like RDS, Redshift, S3, Athena, Glue, Kinesis, EMR
  • Experience with one or more RDBMS platforms (DB2, Oracle, etc.) is a must
  • Understanding of Big Data approaches and technologies like Hadoop, AWS, Spark,etc
  • Experience with SQL (MySQL, Postgres) and NoSQL (MongoDB/HBase/Redis) databases is expected.

3. BS in Information Technology with 7 years of experience

  • Knowledge of agile methodology
  • Experience in ETL tools and processes is considered an asset
  • Excellent time management, problem-solving and organizational skills with an attention to detail
  • Excellent communication skills in person, via email, and via phone
  • Fluency in English is mandatory, French and/or German
  • Excellent with written and verbal communication
  • A knack for problem-solving and attention to detail
  • Practiced in using data visualizations to tell important stories and influence decisions
  • A love of technology and passion for finding new ways to use it, particularly in optimizing the flow of information and insights to the right people at the right time
  • Expertise in Excel, Google Sheets
  • Familiar with SQL, R, Python, etc.

4. BS in Software Engineering with 6 years of experience

  • Experience architecting services integrations preferably with MuleSoft
  • Knowledge of API management solutions (Apigee, Mashery, etc.) and ability to drive external API development requirements
  • Advanced knowledge of SQL and DAX
  • Experience with Power BI
  • Experience with Microsoft Power Automate and Microsoft Flow
  • Knowledge of Microsoft Power Apps preferred
  • Advanced knowledge of Salesforce CRM
  • Advanced knowledge of Excel (including pivot tables, macros, vlookups, queries, and advanced written formulas)
  • Experience in contributing to or leading data integration efforts / architecting data solutions
  • Proven experience delivering data integration solutions
  • Experience working in a small company as a data lead
  • Ability to work well independently and within a team environment

5. BA in Business Intelligence with 4 years of experience

  • A good understanding of SQL query development
  • Familiarity with Microsoft Access or Actian's Data Connect
  • Understanding of programming logic and being familiar with software source control, source code editors, compilers, and debugging toolsets. 
  • Familiar with the utilization of data utilities. 
  • Excellent verbal and written communication skills. 
  • Knowledge of Tibco, ETL, API web services, pl/SQL
  • Experience with Agile methodology
  • Knowledge of Dynamics 365
  • Ability to handle multiple tasks, prioritize and meet deadlines
  • Superb written and oral communication skills

6. BS in Management Information Systems with 5 years of experience

  • Strong command of SQL
  • Python, bash, or other scripting language familiarity
  • Comfortable in Linux command line
  • Knowledge of hospital data flows
  • Versed in basic web networking principles (like DNS, SSL, VPNs)
  • Experience configuring cloud services (like AWS)
  • Knowledge of healthcare claims processing platforms
  • Knowledge of healthcare claims editing systems for correct coding
  • Experience with Dimensional Modeling
  • Intermediate to Advanced Excel, practical experience with dynamic data sets and functions
  • Proficient in Microsoft Office Suite
  • Experience with Commercial Loans, Real Estate, Structured Financing, Cashflows Budgets

7. BS in Data Science with 4 years of experience

  • Ability to analyze client business needs and processes
  • Ability to assess problems and propose solutions
  • Ability to develop system mapping and integration plans
  • Ability to communicate and collaborate with others
  • Ability to plan and manage time, tasks, and projects
  • Ability to think strategically and grasp abstract concepts
  • Ability to interface Engines Mirth/Javascript
  • Relational Databases PostgreSQL (SQL scripting, JSON, regular expressions)
  • Experience with clinical ontologies (e.g., LOINC, SNOMED, RxNorm)
  • Knowledge of FHIR, HL7 2.x, CCD/CCDA, X12, and other standards

8. BA in Statistics with 3 years of experience

  • Strong working knowledge of FTP and API processes
  • Experience with Salesforce
  • Proficient in Microsoft Office or Google Suite
  • Knowledge of Commercial Truck or Heavy Equipment industry
  • Experience working in the HR, Payroll, or Benefits industry
  • Experience with iSolved HCM software
  • Knowledge of SQL/database structures
  • Microsoft SQL Server Integration Services knowledge
  • Data Integration web services, ITIL process, data analysis, system design, project teams, business units, data management, data warehousing, project planning, project delivery, data integration, web applications
  • Integration experience with Microsoft SSIS, Informatica PowerCenter, IBM integration bus, or other tools
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