A Data Integration Developer is a professional who plays a crucial role in ensuring seamless data flow and integration across various systems within an organization. They are responsible for designing, developing, and maintaining data integration solutions that enable the efficient and effective exchange of data between different applications and platforms. In this blog post, we describe the primary responsibilities and the most in-demand hard and soft skills for Data Integration Developers.

Get market insights and compare skills for other jobs here.

Main Responsibilities of a Data Integration Developer

The following list describes the typical responsibilities of a Data Integration Developer:

Adhere to

Adhere to enterprise frameworks or methodologies that relate to data activities for business area.

Analyze

Analyze data integration requirements and translate them into technical specifications.

Assist in

• Assist in data modeling and schema design.

• Assist in data warehouse design and implementation.

• Assist in developing data migration policies and processes.

Automate

• Automate data integration processes using scripting or programming languages.

• Automate data using SFTP / FTP.

Change

Change order creation and implement changes in different ENV SIT / PAT / PROD / DR as needed.

Cleans

Cleans and manage data, in addition to migrating and integrating data with various sources.

Collaborate with

• Collaborate with data analysts and data scientists to support data-driven decision-making.

• Collaborate with database administrators and system architects.

• Collaborate with other technology teams and architects to define and develop solutions.

• Collaborate with stakeholders to gather integration requirements.

• Collaborate with the development team to architect efficient and stable data models.

Collect

Collect and research data.

Conduct

• Conduct data migration and data synchronization activities.

• Conduct performance tuning and optimization of data integration workflows.

Contribute

Contribute to a fair, positive and equitable environment that supports a diverse workforce.

Create

• Create and maintain data dictionaries and data lineage documentation.

• Create and manage data mapping and transformation rules.

• Create complex extracts with multiple layouts for different vendors based of the specifications.

Design

Design and implement data integration solutions.

Develop

• Develop and maintain data integration standards and best practices.

• Develop and maintain data integration workflows.

• Develop business requirements by researching / analyzing and documenting business data requirements.

Document

• Document and analyze current business processes and underlying systems / applications.

• Document technical specifications, integration workflows, and troubleshooting guides.

Ensure

Ensure data accuracy, consistency, and integrity throughout the integration process.

Extract

• Extract data from xml datatype fields from using SQL queries and SSIS for SSRS reporting needs.

• Extract and transform data from multiple sources and loads data into one or more destinations.

• Extract, transform, and load (ETL) data from multiple sources.

Help

Help business users analyze data as well as providing data insight to upper management.

Identify

Identify inefficiencies in system processes, recommends & implements changes.

Implement

• Implement data governance and security measures.

• Implement data governance policies and ensure compliance.

• Implement end-to-end data solutions in Azure.

• Implement ETL and data movement solutions using Azure Data Factory and SSIS.

Integrate

Integrate data from various databases, APIs, and file formats.

Lead

• Lead projects of moderately to complex risk and resource requirements.

• Lead technology solutions enabling advanced analytics (AI / ML).

• Lead the research, development & implementation of special projects, as needed.

Learn

Learn from deep subject matter experts through mentoring and on the job coaching.

Monitor

• Monitor and optimize data integration performance.

• Monitor, troubleshoot, and resolve problems.

Own

Own the development process from requirements gathering to full implementation.

Participate in

• Participate in business analysis activities to gather data integration and movement requirements.

• Participate in cross-functional teams for system integration projects.

• Participate in development and validation of Enterprise data warehouse.

Pereview

• Pereview customers have saved up to 90 percent of time spent on regular real estate reporting.

• Pereview empowers all business teams internally to connect their disparate software tools.

Perform

• Perform Application development and unit testing for the assigned BSP projects.

• Perform data profiling and data quality assessments.

• Perform data profiling using tooling and ad hoc system query languages to validate data analysis.

• Perform production deployments.

• Perform requirements gathering and documents processes with internal stakeholders.

Prepare

Prepare System Implementation Plan document for PAT and PROD environments.

Provide

• Provide guidance and training to junior data integration developers.

• Provide support as required to ensure the availability and performance of the ETL processes.

• Provide technical assistance and cross training to other team members.

• Provide technical support and guidance to end-users.

Stay up-to-date with

Stay up-to-date with industry trends and best practices in data integration.

Support

Support business users query.

Synthesize

Synthesize complex or diverse information.

Test

Test and validate data integration processes.

Troubleshoot

Troubleshoot and resolve data integration issues.

Understand

Understand data models and their relationship to reporting.

Update

• Update status reports, attend mandatory trainings.

• Update to ASDP document as per the changes in project.

Use

Use intuition and experience to complement data.

Work with

• Work autonomously on a range of tasks and may be relied upon to coach / educate others.

• Work closely with business partners in developing and operationalizing analytics solutions.

• Work effectively with other Team members and Business Partners internally and externally.

• Work independently, complete work with moderate to low supervision.

• Work on artifacts and documentations.

• Work with data integration tools and technologies such as ETL tools, data integration platforms, and APIs.

• Work with ITS partners to build and maintain a data pipeline between client and Azure Public Cloud.

• Work with other various partners / stakeholders to ensure project success.

• Work with testing team to resolve the issues raised.

Write

Write complex SQL queries for data extraction and transformation.

Most In-demand Hard Skills

The following list describes the most required technical skills of a Data Integration Developer:

1. Proficiency in SQL and database querying languages.

2. Expertise in data integration tools like Informatica, Talend, or SSIS.

3. Strong understanding of data modeling concepts.

4. Experience with ETL (Extract, Transform, Load) processes.

5. Knowledge of data warehousing principles and methodologies.

6. Familiarity with cloud-based data integration platforms (e.g., AWS Glue, Azure Data Factory).

7. Understanding of API integration and web services.

8. Proficient in scripting languages like Python, Perl, or Shell scripting.

9. Familiarity with data governance frameworks and practices.

10. Knowledge of data security and privacy regulations (e.g., GDPR, HIPAA).

Most In-demand Soft Skills

The following list describes the most required soft skills of a Data Integration Developer:

1. Strong analytical and problem-solving abilities.

2. Excellent communication and collaboration skills.

3. Attention to detail and data accuracy.

4. Strong organizational and time management skills.

5. Ability to work in a fast-paced and dynamic environment.

6. Adaptability and flexibility in handling changing requirements.

7. Strong documentation and technical writing skills.

8. Ability to work independently and as part of a team.

9. Continuous learning mindset to stay updated with emerging technologies.

10. Strong customer service orientation.

Conclusion

Data Integration Developers play a vital role in ensuring the smooth flow of data across various systems within an organization. Their responsibilities range from designing and implementing data integration solutions to troubleshooting and optimizing data integration processes. Alongside technical skills such as SQL, ETL, and data modeling, they also require soft skills like communication, problem-solving, and attention to detail. By possessing a diverse set of skills, Data Integration Developers contribute to enhancing data quality, enabling informed decision-making, and driving organizational success.