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Data Warehouse Developer

Overview, Education, Careers Types, Skills, Career Path, Resources

Data Warehouse Developers design and manage systems for storing and analyzing data. They ensure efficient data retrieval for informed decision-making.

Average Salary

₹7,00,000

Growth

high

Satisfaction

medium

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Functional Skills

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

    -
    Data Modeling
    -
    ETL Processes
    -
    SQL
    -
    Data Warehouse Architecture
    -
    Business Intelligence (BI) Tools
    -
    Data Governance
    -
    Cloud Data Warehousing
    -
    Performance Tuning
    -
    Data Security
    -
    Database Management Systems (DBMS)
    -
    Python Programming
Soft Skills

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

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    Analytical Thinking
    -
    Problem-Solving
    -
    Communication
    -
    Attention to Detail
    -
    Collaboration
    -
    Time Management
    -
    Adaptability
    -
    Critical Thinking
    -
    Business Acumen
Technical Skills

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

    -
    Data Modeling
    -
    SQL (Structured Query Language)
    -
    ETL Tools (e.g., Informatica, DataStage, SSIS)
    -
    Data Warehousing Concepts
    -
    Database Management Systems (DBMS)
    -
    Cloud Computing (AWS, Azure, GCP)
    -
    Data Analysis and Visualization
    -
    Python Programming
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    Big Data Technologies (Hadoop, Spark)
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    Data Governance and Security
Duties and Responsiblities

Task

95%

Design and develop data warehouse solutions to meet business requirements, focusing on scalability and performance.

90%

Extract, transform, and load (ETL) data from various sources into the data warehouse, ensuring data quality and consistency.

85%

Create and maintain data models, schemas, and database structures for the data warehouse.

80%

Optimize data warehouse performance by tuning queries, indexing, and partitioning data.

75%

Develop and implement data quality checks and monitoring processes to ensure data accuracy.

70%

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

65%

Create and maintain documentation for data warehouse processes, data models, and ETL procedures.

60%

Troubleshoot and resolve data warehouse issues, including data quality problems and performance bottlenecks.

55%

Implement security measures to protect sensitive data stored in the data warehouse.

50%

Stay up-to-date with the latest data warehousing technologies and trends, and recommend improvements to the data warehouse architecture.

Work Activities

95%

Crafting efficient data models for optimal warehouse performance and scalability.

92%

Designing, developing, and maintaining robust ETL pipelines for data integration.

90%

Fine-tuning database performance through indexing, partitioning, and query optimization.

88%

Implementing data validation and cleansing procedures to ensure data accuracy.

85%

Monitoring system performance and identifying bottlenecks for proactive resolution.

82%

Implementing security measures to protect sensitive data within the warehouse.

80%

Supporting reporting and analytics teams with data access and query optimization.

78%

Collaborating with stakeholders to understand data requirements and provide solutions.

75%

Creating documentation and training materials for data warehouse users and developers.

70%

Keeping abreast of the latest data warehousing technologies and trends.

Detailed Work Profile

Interests