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Title
Text copied to clipboard!ETL Developer
Description
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We are looking for an experienced ETL Developer to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes that support our data warehousing and analytics initiatives. You will work closely with data analysts, data scientists, and business stakeholders to ensure data is accurate, timely, and accessible.
As an ETL Developer, you will be expected to understand complex data systems and develop scalable solutions that integrate data from multiple sources. You will be responsible for building and optimizing data pipelines, ensuring data quality, and maintaining documentation for all ETL processes. Your work will directly impact the organization’s ability to make data-driven decisions.
Key responsibilities include developing ETL workflows using tools such as Informatica, Talend, Apache NiFi, or custom scripts in Python or SQL. You will also be expected to monitor ETL jobs, troubleshoot issues, and optimize performance. A strong understanding of relational databases, data modeling, and data warehousing concepts is essential.
The successful candidate should have excellent problem-solving skills, attention to detail, and the ability to work independently or as part of a team. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is a plus, especially in the context of data services like AWS Glue, Azure Data Factory, or Google Dataflow.
If you are passionate about data and enjoy building systems that help organizations gain insights, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Design, develop, and maintain ETL processes and data pipelines
- Collaborate with data analysts and business stakeholders to understand data requirements
- Integrate data from various sources into data warehouses or data lakes
- Ensure data quality, consistency, and reliability across systems
- Monitor and troubleshoot ETL jobs and resolve data-related issues
- Optimize ETL performance and scalability
- Document ETL workflows, data mappings, and system architecture
- Implement data validation and cleansing routines
- Support data migration and integration projects
- Stay updated with new ETL tools and technologies
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Information Systems, or related field
- 3+ years of experience in ETL development
- Proficiency in SQL and scripting languages like Python or Shell
- Experience with ETL tools such as Informatica, Talend, or Apache NiFi
- Strong understanding of data warehousing and data modeling concepts
- Familiarity with cloud data platforms (AWS, Azure, or GCP)
- Excellent problem-solving and analytical skills
- Ability to work independently and in a team environment
- Strong communication and documentation skills
- Experience with version control systems like Git
Potential interview questions
Text copied to clipboard!- What ETL tools have you worked with in previous roles?
- Can you describe a complex ETL pipeline you developed?
- How do you ensure data quality in your ETL processes?
- Have you worked with cloud-based ETL solutions? If so, which ones?
- What strategies do you use to optimize ETL performance?
- How do you handle errors and exceptions in ETL workflows?
- Describe your experience with data modeling and warehousing.
- What scripting languages are you proficient in?
- How do you document your ETL processes?
- Have you worked in an Agile development environment?
