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Title
Text copied to clipboard!ETL Developer
Description
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We are looking for a skilled ETL Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining robust ETL processes to support our data warehousing and business intelligence initiatives. You will work closely with data architects, analysts, and other stakeholders to ensure data is accurately and efficiently extracted, transformed, and loaded from various sources into our data warehouse. Your role will involve understanding business requirements, creating technical specifications, and implementing ETL solutions that meet performance, scalability, and reliability standards. You will also be responsible for troubleshooting and optimizing existing ETL processes, ensuring data quality, and maintaining comprehensive documentation. The successful candidate will have a strong background in database management, data modeling, and ETL tools, along with excellent problem-solving skills and attention to detail. If you are passionate about data and have a knack for turning complex data sets into actionable insights, we would love to hear from you.
Responsibilities
Text copied to clipboard!- Design, develop, and maintain ETL processes.
- Collaborate with data architects and analysts to understand business requirements.
- Create technical specifications for ETL solutions.
- Implement ETL solutions that meet performance and scalability standards.
- Troubleshoot and optimize existing ETL processes.
- Ensure data quality and integrity throughout the ETL process.
- Maintain comprehensive documentation of ETL processes.
- Monitor ETL processes and resolve any issues promptly.
- Perform data validation and reconciliation.
- Develop and maintain data models and schemas.
- Work with various data sources, including databases, APIs, and flat files.
- Ensure compliance with data governance and security policies.
- Provide support and training to end-users and stakeholders.
- Stay updated with the latest ETL tools and technologies.
- Participate in code reviews and provide constructive feedback.
- Collaborate with cross-functional teams to deliver data solutions.
- Develop and implement data integration strategies.
- Perform performance tuning and optimization of ETL processes.
- Assist in the design and implementation of data warehousing solutions.
- Contribute to the continuous improvement of ETL processes and methodologies.
Requirements
Text copied to clipboard!- Bachelor's degree in Computer Science, Information Technology, or related field.
- Proven experience as an ETL Developer or similar role.
- Strong knowledge of ETL tools such as Informatica, Talend, or SSIS.
- Proficiency in SQL and database management.
- Experience with data modeling and schema design.
- Familiarity with data warehousing concepts and architectures.
- Excellent problem-solving and analytical skills.
- Attention to detail and commitment to data quality.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
- Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) is a plus.
- Knowledge of programming languages such as Python or Java is a plus.
- Understanding of data governance and security best practices.
- Ability to manage multiple tasks and projects simultaneously.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Familiarity with business intelligence tools (e.g., Tableau, Power BI) is a plus.
- Strong organizational and time management skills.
- Ability to adapt to changing business requirements and priorities.
- Experience with Agile development methodologies is a plus.
- Certifications in relevant technologies are a plus.
Potential interview questions
Text copied to clipboard!- Can you describe your experience with ETL tools such as Informatica, Talend, or SSIS?
- How do you ensure data quality and integrity in your ETL processes?
- Can you provide an example of a complex ETL process you have designed and implemented?
- How do you approach troubleshooting and optimizing ETL processes?
- What experience do you have with data modeling and schema design?
- How do you stay updated with the latest ETL tools and technologies?
- Can you describe a time when you had to work with cross-functional teams to deliver a data solution?
- What strategies do you use for performance tuning and optimization of ETL processes?
- How do you handle data validation and reconciliation?
- What is your experience with cloud-based data platforms such as AWS, Azure, or Google Cloud?
