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
Professional Skills FAQs
What are professional skills?
Professional skills are abilities that help individuals perform tasks effectively in a workplace environment. These skills include both technical competencies required for specific roles and soft skills such as communication, teamwork, and problem solving.
What is the difference between hard skills and soft skills?
Hard skills are technical abilities learned through education or training, such as programming, data analysis, or laboratory testing. Soft skills refer to interpersonal abilities like communication, leadership, adaptability, and teamwork.
Why are professional skills important for careers and resumes?
Professional skills help employers evaluate whether a candidate can perform job responsibilities effectively. Listing relevant skills on a resume demonstrates qualifications and helps applications pass Applicant Tracking Systems used in modern hiring processes.
What professional skills do employers look for?
Employers usually value a combination of technical expertise and transferable workplace skills. Common examples include analytical thinking, communication, teamwork, leadership, time management, adaptability, and digital literacy.
How can professionals develop professional skills?
Professionals can develop skills through continuous learning, training programs, certifications, mentorship, and practical work experience. Staying updated with industry trends also helps individuals maintain relevant and competitive skills.
Editorial Process
Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.
Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.