Data Integration Consultant

Job Description: Data Integration Consultant

Responsibilities:

1. Collaborate with clients to understand data integration requirements and business objectives.

2. Design and develop data integration strategies and solutions to ensure seamless data flow between systems.

3. Perform data profiling and data mapping to understand source system data structures and integration points.

4. Develop and implement data transformation rules and scripts to ensure data quality and consistency.

5. Design and optimize Extract, Transform, Load (ETL) processes to integrate data from various sources.

6. Implement and configure data integration tools and platforms (e.g., Informatica, Talend, SSIS).

7. Collaborate with data architects and database administrators to ensure optimal data modeling and database design for integration purposes.

8. Monitor and troubleshoot data integration processes, identifying and resolving data quality issues, performance bottlenecks, and errors.

9. Develop and maintain documentation for data integration processes, including data mappings, workflows, and integration specifications.

10. Collaborate with cross-functional teams, including developers and business analysts, to ensure successful implementation of data integration solutions.

11. Stay updated with emerging technologies, trends, and best practices in data integration and ETL.

12. Provide expertise and guidance on data integration best practices and standards to clients and project teams.

13. Participate in data governance initiatives to ensure data quality, security, and compliance.

14. Collaborate with stakeholders to define and implement data integration test plans and execute integration testing.

15. Provide support and training to end-users and stakeholders on data integration processes and tools.

Requirements:

- Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is a plus.

- Proven experience as a Data Integration Consultant or a similar role, including hands-on experience with data integration projects.

- Strong understanding of data integration concepts, methodologies, and best practices.

- Proficiency in data integration tools and platforms, such as Informatica, Talend, SSIS, or similar.

- Solid knowledge of ETL processes and tools for data extraction, transformation, and loading.

- Experience with SQL and scripting languages (e.g., Python, PowerShell) for data transformation and manipulation.

- Familiarity with data modeling, database design, and data warehousing concepts.

- Understanding of data governance, data quality, and data security principles.

- Strong problem-solving and troubleshooting skills to identify and resolve data integration issues.

- Excellent communication and interpersonal skills to work effectively with clients and cross-functional teams.

- Ability to work independently and as part of a team in a fast-paced and dynamic environment.

- Strong attention to detail and a focus on delivering high-quality results.

- Experience with cloud-based data integration services (e.g., AWS Glue, Azure Data Factory) is a plus.

- Knowledge of APIs, web services, and other integration methods is beneficial.

- Familiarity with data migration, data synchronization, and data consolidation processes.

- Understanding of different data formats and protocols (e.g., XML, JSON, REST, SOAP).

- Knowledge of data governance frameworks and data management best practices.About Us

Who We Are

We have been using our skills and experience to help mobile service providers and vendors design and build brilliant mobile data networks that delight their users since 1999.

Today the Flint team combines decades of telecoms and networking experience, coupled with the business insight, project management skills and resourcing capabilities that make mobile data projects happen quickly and efficiently.

Although our industry has changed dramatically since Flint was founded, we have kept the same core values:

Specialist – we provide specialist people, projects and training

Timely – we have the expertise and resources you need, when you need them

Flexible – we build the right team for the project, every time

Value for money – we deliver value by getting it right first time

Cutting edge – we have a deep knowledge of current, new and emerging technologies

Independent – we’re not tied to specific vendors or systems

We do business in over 20 countries around the world, delivering our services to Tier 1 and Tier 2 mobile network operators and vendors through three specialized business divisions:

Flint Projects – delivery of projects and solutions for mobile networks, from concept through to acceptance

Flint Specialists – highly skilled professionals and teams that enable mobile projects and solutions worldwide

Flint Academy – tailored technical training for service providers and vendors.**Job Description: Data Integration Consultant**

Responsibilities:

1. Collaborate with clients to understand data integration requirements and business objectives.

2. Design and develop data integration strategies and solutions to ensure seamless data flow between systems.

3. Perform data profiling and data mapping to understand source system data structures and integration points.

4. Develop and implement data transformation rules and scripts to ensure data quality and consistency.

5. Design and optimize Extract, Transform, Load (ETL) processes to integrate data from various sources.

6. Implement and configure data integration tools and platforms (e.g., Informatica, Talend, SSIS).

7. Collaborate with data architects and database administrators to ensure optimal data modeling and database design for integration purposes.

8. Monitor and troubleshoot data integration processes, identifying and resolving data quality issues, performance bottlenecks, and errors.

9. Develop and maintain documentation for data integration processes, including data mappings, workflows, and integration specifications.

10. Collaborate with cross-functional teams, including developers and business analysts, to ensure successful implementation of data integration solutions.

11. Stay updated with emerging technologies, trends, and best practices in data integration and ETL.

12. Provide expertise and guidance on data integration best practices and standards to clients and project teams.

13. Participate in data governance initiatives to ensure data quality, security, and compliance.

14. Collaborate with stakeholders to define and implement data integration test plans and execute integration testing.

15. Provide support and training to end-users and stakeholders on data integration processes and tools.

Requirements:

- Bachelor's degree in Computer Science, Information Systems, or a related field. A master's degree is a plus.

- Proven experience as a Data Integration Consultant or a similar role, including hands-on experience with data integration projects.

- Strong understanding of data integration concepts, methodologies, and best practices.

- Proficiency in data integration tools and platforms, such as Informatica, Talend, SSIS, or similar.

- Solid knowledge of ETL processes and tools for data extraction, transformation, and loading.

- Experience with SQL and scripting languages (e.g., Python, PowerShell) for data transformation and manipulation.

- Familiarity with data modeling, database design, and data warehousing concepts.

- Understanding of data governance, data quality, and data security principles.

- Strong problem-solving and troubleshooting skills to identify and resolve data integration issues.

- Excellent communication and interpersonal skills to work effectively with clients and cross-functional teams.

- Ability to work independently and as part of a team in a fast-paced and dynamic environment.

- Strong attention to detail and a focus on delivering high-quality results.

- Experience with cloud-based data integration services (e.g., AWS Glue, Azure Data Factory) is a plus.

- Knowledge of APIs, web services, and other integration methods is beneficial.

- Familiarity with data migration, data synchronization, and data consolidation processes.

- Understanding of different data formats and protocols (e.g., XML, JSON, REST, SOAP).

- Knowledge of data governance frameworks and data management best practices.