ETL Developer
Two95 International Inc.
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Job summary
Two95 International Inc. is seeking an ETL Developer to design, implement, and maintain robust data pipelines in a fast-paced environment. You will extract, transform, and load data from multiple sources, ensuring quality and consistency while optimizing performance.
The role requires hands-on experience with ETL tools (Informatica, Talend, SSIS, DataStage), strong SQL skills, and familiarity with data warehousing concepts; exposure to Spark/Hadoop and cloud platforms (AWS/Azure/GCP) is a plus.
Qualifications
- 3 years of experience in ETL development
- Strong SQL skills
- Hands-on experience with ETL tools (Informatica / Talend / SSIS / DataStage)
- Basic knowledge of Python or scripting
- Understanding of data warehousing concepts
- Experience with Spark or Hadoop (nice to have)
- Exposure to cloud platforms (AWS / Azure / GCP)
- Knowledge of scheduling tools like Airflow
Responsibilities
- Develop and maintain ETL pipelines and workflows
- Extract, transform, and load data from multiple sources
- Ensure data quality, validation, and consistency
- Optimize ETL processes for performance
- Work with data warehouses and large datasets
- Collaborate with cross-functional teams
- Troubleshoot and resolve data-related issues
Skills
Tools
Job description
Develop and maintain ETL pipelines and workflows
Extract, transform, and load data from multiple sources
Ensure data quality, validation, and consistency
Optimize ETL processes for performance
Work with data warehouses and large datasets
Collaborate with cross-functional teams
Troubleshoot and resolve data-related issues
Required Skills:
3 years of experience in ETL development
Strong SQL skills
Hands-on experience with ETL tools (Informatica / Talend / SSIS / DataStage)
Basic knowledge of Python or scripting
Understanding of data warehousing concepts
Good to Have:
Experience with Spark or Hadoop
Exposure to cloud platforms (AWS / Azure / GCP)
Knowledge of scheduling tools like Airflow
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