DATA INTEGRATION MANAGER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS
Updated: Mai 19, 2025 - The Data Integration Manager develops data delivery and integration solutions, and leverages big data warehousing technologies like BigQuery, Redshift, and Snowflake. Proficient in full-stack coding with Python and Java, and skilled in implementing ETL and iPaaS tools including Pentaho and Informatica, complemented by a robust understanding of data modeling techniques and data pipeline orchestration using Airflow. Demonstrates strong organizational skills, adept at managing complex, multi-stakeholder projects and enhancing go-to-market strategies through integration with major SaaS platforms like Salesforce and Marketo.
Essential Hard and Soft Skills for a Standout Data Integration Manager Resume
- Data Integration
- ETL Tools
- SQL Programming
- Data Warehousing
- Data Modeling
- Cloud Technologies
- API Integration
- Data Governance
- Master Data Management
- Python/Java
- Communication
- Leadership
- Problem-Solving
- Time Management
- Adaptability
- Collaboration
- Critical Thinking
- Conflict Resolution
- Attention to Detail
- Decision-Making
Summary of Data Integration Manager Knowledge and Qualifications on Resume
1. BS in Data Science with 7 years of Experience
- Experience in building high-quality data solutions while providing excellent customer service to our clients.
- Understand the benefits of accurate and actionable data, you drive consistency and enjoy working with others to accomplish the task
- Able to query and identify gaps and inconsistencies in complex data and provide solutions
- Understanding of data architecture, warehouses and database infrastructure
- Ability to look at issues unconventionally and devise innovative solutions
- Experience in data management, data quality, and/or data governance along with experience being a leader of a data operations or integration team.
- Capability to work autonomously and manage multiple priorities to guide your team to meet fluid deadlines and deliver with minimal oversight
- Excellent communication skills providing effective and timely updates to both business and technical teams
- Experience working with data
- Experience leading a team
2. BS in Information Technology with 8 years of Experience
- Experience in data delivery and integration development
- Experience with Big data warehousing solutions (BigQuery, Redshift, Snowflake, Vertica or similar)
- Experience in building integration with major SaaS tools that support Go-to-Market functions (Salesforce, NetSuite, Marketo, Zendesk, Strikedeck/Gainsight or similar)
- Full-stack coding experience using Python, Java or similar programming languages
- Experience with ETL and iPaaS solutions such as Pentaho, Workato, Dell Boomi, Mulesoft, Informatica, or similar tools
- Good understanding of Data Modeling (Kimball, Inmon, SCDs, Data Vault, Anchor)
- Experience with Data Pipeline Orchestration (Airflow, Dragster)
- Experience with Google Big Query, Airflow, and Jenkins preferred
- Extensive experience with writing and fine-tuning of complex SQL queries and ETL scripts
- Strong organizational skills and proven ability to manage complex projects with competing priorities
- Ability to collaborate with multiple stakeholders and cross-functional teams
3. BS in Computer Science with 7 years of Experience
- Experience with Python and Pandas
- Experience with Linux terminal
- Experience with SQL query
- Advanced working knowledge of Microsoft Office Suite
- Amazon Web Services EC2 and S3; R and Jupyter Notebook
- Strong interpersonal skills with demonstrated poise, tact, and diplomacy
- Self-starter with ability to project manage work
- Knowledge of hospital EMR systems including but not limited to Epic or Cerner
- Knowledge of health coding standards ICD-10, SNOMED-CT, LOINC, NDC, RxNorm
- Knowledge of OMOP Common Data Model
- Experience with Learning Health Systems data infrastructure.
- Ability to contribute to setting the overall IT department agenda and operating practices
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