ETL Process Specialist
1 week ago
We are seeking a highly skilled Data Transformation Engineer to join our team in Bangalore. The ideal candidate will have a strong background in ETL processes, along with proficiency in Python, PySpark, and SnowSQL. This role requires a hands-on professional with a proven ability to troubleshoot and optimize ETL jobs while collaborating in a cross-functional and global environment.
Key Responsibilities:
1. ETL Development & Management:
Develop, monitor, and troubleshoot ETL jobs with a focus on performance tuning, reject handling, and ad-hoc reloads.
Optimize ETL processes to ensure efficient data movement, transformation, and loading.
Utilize SQL fundamentals to pull data, apply business rules, and stock target data efficiently.
2. Programming & Data Transformation:
Write and maintain Python scripts for data transformation tasks.
Use PySpark for complex data processing tasks (minimum of 1+ year of experience required).
3. Database & Tools Management:
Work with SnowSQL and other database tools to manage and manipulate data.
Provide basic AWS technical support, including job status monitoring and log analysis.
Manage job schedules and monitoring using Control-M.
4. Documentation & Communication:
Create clear, concise documentation for ETL processes, including operational run books and troubleshooting guides.
Communicate effectively with cross-functional teams to resolve issues and ensure seamless operation.
5. Incident Management:
Proactively identify and address incidents and problems, minimizing service interruptions.
Coordinate across teams to diagnose issues and provide timely resolutions.
Qualifications:
Experience: 6-9 years of hands-on experience in ETL processes. Certifications with less experience will also be considered.
Technical Skills:
Proficiency in PySpark, Python, and SnowSQL.
Strong knowledge of SQL fundamentals and the ability to write complex queries.
Basic AWS technical skills, including job monitoring and log analysis.
Experience with Control-M or similar job scheduling tools.
Soft Skills:
Ability to work independently as well as in a team environment.
Excellent communication skills with a strong ability to manage multiple tasks concurrently.
Strong problem-solving skills with a focus on service reliability and performance optimization.
Preferred Qualifications:
Certification in relevant ETL or data engineering technologies.
Experience in a cloud-based data environment, particularly AWS.
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