What are the responsibilities and job description for the Data Architect position at Diverse Lynx?
Data Architect.
The specific skill set necessary are -
Primary Skill TAMR
Secondary Skill Python, AWS Data Engg. , Azure Data Engg. , Snowflake
Responsibilities
Below are the detailed Responsibilities and Qualifications needed :
The specific skill set necessary are -
Primary Skill TAMR
Secondary Skill Python, AWS Data Engg. , Azure Data Engg. , Snowflake
Responsibilities
Below are the detailed Responsibilities and Qualifications needed :
- Collaborate with clients to understand their data integration needs and requirements.
- Design, develop, and implement data integration solutions using TAMR platform.
- Configure and customize TAMR workflows, data models, and matching rules to ensure accurate and efficient data integration.
- Develop and maintain data pipelines using Python for extracting, transforming, and loading data from various sources into TAMR.
- Utilize AWS, Azure, and Snowflake to build scalable and secure data infrastructure and optimize data processing and storage.
- Perform data quality analysis and identify opportunities for data cleansing and enrichment.
- Collaborate with cross-functional teams including data engineers, data scientists, and business analysts to deliver comprehensive data integration solutions.
- Conduct testing and troubleshooting of data integration processes to ensure data accuracy and integrity.
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- 3-5 years of hands-on experience in data integration projects, preferably using TAMR.
- Strong proficiency in Python programming language for data manipulation and transformation.
- Experience working with cloud platforms such as AWS and Azure, including data storage, compute, and analytics services.
- Familiarity with Snowflake data warehouse and its integration with data integration tools.
- Solid understanding of data integration concepts, data modeling, and ETL/ELT processes.
- Knowledge of data quality assessment and data governance practices.
- Strong analytical and problem-solving skills with the ability to handle complex data integration challenges.
- Excellent communication and collaboration skills to work effectively with clients and cross-functional teams.
- Ability to adapt to a fast-paced and dynamic work environment.
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