- Design, Develop, and Implement ETL Processes : Utilize Talend Data Integration to architect, develop, and deploy robust ETL processes.
- Design these processes to efficiently extract, transform, and load data from diverse sources into designated target systems.
- Data Integration Across Platforms : Harness Rest APIs, SQL, and JSON to seamlessly integrate and transform data from a variety of platforms and formats.
- Ensure compatibility and coherence of data throughout the integration process.
- Collaboration with Cross-Functional Teams : Work closely with crossfunctional teams, including Data Analysts and Business Analysts, to understand data requirements.
- Translate these requirements into actionable ETL solutions, ensuring alignment with business objectives.
- Optimization of ETL Workflows : Continuously optimize ETL workflows for enhanced performance, reliability, and scalability.
- Implement strategies to streamline data processing and minimize bottlenecks throughout the pipeline.
- Troubleshooting and Issue Resolution : Proactively identify and troubleshoot data integration issues and inconsistencies.
- Develop effective resolutions to maintain data quality and integrity across systems.
- Data Analysis and Profiling : Conduct thorough data analysis and profiling to identify quality issues and transformation requirements.
- Utilize insights to refine ETL processes and enhance data accuracy and reliability.
- Technical Documentation : Develop and maintain comprehensive technical documentation for ETL processes, data flows, and transformations.
- Ensure documentation is clear, concise, and accessible to relevant stakeholders.
- Stay Updated on Industry Best Practices : Keep abreast of industry best practices and emerging trends in data integration and ETL technologies.
- Incorporate new methodologies and tools as appropriate to drive continuous improvement.
- Experience with Talend Data Integration : Minimum of 2 years of handson experience with Talend Data Integration, demonstrating proficiency in designing and implementing ETL processes.
- Technical Proficiency : Strong command of Rest API integration, SQL querying, and JSON data manipulation.
- Familiarity with data warehousing concepts and best practices in ETL.
- Data Transformation Skills : Proficient in data mapping, transformation, and cleansing techniques.
- Solid understanding of data structures, modeling, and normalization principles.
- Cloud-Based ETL Solutions : Experience with cloudbased ETL solutions such as AWS Glue or Azure Data Factory is advantageous.
- Problem-Solving and Attention to Detail : Strong problemsolving skills with a keen attention to detail.
- Ability to identify and address data quality issues effectively.
- Communication Skills : Excellent communication skills, both verbal and written, enabling effective collaboration with technical and nontechnical stakeholders.
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Data Integration Analyst - Bengaluru, India - TalentXo
Description
Role & Responsibilities :
Ideal Candidate :
Education :
Bachelor's degree in Computer Science, Engineering, or a related field is preferred, providing a solid foundation for technical expertise in ETL processes.
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