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Job Description
- Design, develop, and implement robust data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
- Collaborate with stakeholders to understand requirements and translate them into technical specifications.
- Perform data profiling and analysis to identify data quality issues and develop strategies for data cleansing and transformation.
- Develop and maintain ETL processes for extracting, transforming, and loading data from diverse sources into a unified data warehouse or data lake.
- Monitor and optimize data integration workflows to ensure high performance and reliability.
- Troubleshoot data integration issues, perform root cause analysis, and implement corrective actions.
- Collaborate with database administrators, data architects, and developers to ensure data integrity, security, and compliance.
- Document data integration processes, configurations, and troubleshooting steps for knowledge sharing and future reference.
- Stay updated with emerging trends and advancements in data integration technologies and recommend improvements or new solutions.
Job Requirements
- Bachelor’s degree in computer science, Information Systems, or a related field.
- Proven work experience as a Data Integration Engineer or similar role.
- Strong understanding of data integration concepts, methodologies, and best practices.
- Proficient in data management, ETL (Extract, Transform, Load) processes, and data quality management.
- Experience with data integration tools and technologies (e.g., ODI, IBM DataStage, Talend).
- Familiarity with relational databases (e.g., Oracle, SQL Server, MySQL) and data warehouse concepts.
- Knowledge of scripting languages (e.g., Python, Shell scripting) for data manipulation and automation.
- Excellent problem-solving and troubleshooting skills with the ability to analyze complex data integration issues.
- Strong communication and collaboration skills to work effectively with cross-functional teams.
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