Data Integration Analyst

Functional Skills

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

Data Warehousing

ETL (Extract, Transform, Load) Processes

SQL and Database Management

Data Modeling

API Integration

Data Governance and Quality

Cloud Computing

Scripting Languages (Python, Java)

Data Security

Big Data Technologies

Metadata Management

Data Integration Tools

Soft Skills

Communication, teamwork, and critical thinking to ensure seamless project execution.

Technical Skills

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

Data Warehousing

ETL Tools (Informatica, DataStage, SSIS)

SQL and Database Management

Data Modeling

Data Governance and Data Quality

Cloud Computing (AWS, Azure, GCP)

API Integration

Scripting Languages (Python, Shell Scripting)

Data Security

Big Data Technologies (Hadoop, Spark)

Real-time Data Integration

Data Visualization

Duties and Responsiblities

Task

95%

Design and implement data integration solutions using ETL tools like Informatica or DataStage, ensuring seamless data flow.

92%

Develop and maintain data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses.

90%

Monitor data integration processes and resolve any data quality or performance issues promptly to maintain data integrity.

88%

Collaborate with data architects and business analysts to understand data requirements and translate them into technical specifications.

85%

Perform data profiling and analysis to identify data inconsistencies and implement data cleansing procedures.

82%

Create and maintain documentation for data integration processes, including data flow diagrams and technical specifications.

80%

Optimize data integration workflows for performance and scalability, ensuring efficient data processing.

78%

Implement data security measures to protect sensitive data during integration processes, adhering to compliance standards.

75%

Develop and execute test plans to validate data integration solutions, ensuring data accuracy and reliability.

72%

Stay updated with the latest data integration technologies and trends, recommending improvements to existing processes.

70%

Provide support and training to end-users on data integration tools and processes, enhancing their data literacy.

Work Activities

95%

Architect robust data pipelines for seamless data integration across diverse systems.

92%

Develop and implement efficient ETL processes to transform and load data into target systems.

90%

Define data mappings and implement transformation logic to ensure data consistency.

88%

Implement data quality checks and monitoring to maintain high data accuracy and reliability.

85%

Integrate data from various database systems, including SQL and NoSQL databases.

82%

Utilize cloud-based services for data integration, ensuring scalability and efficiency.

80%

Integrate data from various APIs to enrich data sets and enable real-time data access.

78%

Manage and optimize data warehouses for efficient data storage and retrieval.

75%

Implement data governance policies and procedures to ensure data compliance and security.

72%

Optimize data integration processes for improved performance and reduced latency.

70%

Identify and resolve data integration issues to ensure smooth data flow.

68%

Create comprehensive documentation and reports on data integration processes and performance.

Detailed Work Profile

Interests