Role & responsibilities
- Responsibilities will include:
- As SRE with Data Engineering expertise, you will be responsible for managing, maintaining, and troubleshooting GCP data pipelines. The ideal candidate will have extensive experience in cloud data engineering, with in-depth knowledge of Google Cloud Platform services and data pipeline architecture. Additionally, you will leverage your software engineering skills to optimize data pipelines and enhance their reliability.
Required skills:
- 5+ years of industry experience in the field of Data Engineering support and enhancement.
- Proficient in Google Cloud Platform (GCP) services such as Dataflow, BigQuery, Cloud Storage and Pub/Sub.
- Strong understanding of data pipeline architectures and ETL processes.
- Experience with Python programming language in terms of data processing.
- Knowledge of SQL and experience with relational databases.
- Familiarity with version control systems like Git.
- Ability to analyze, troubleshoot, and resolve complex data pipeline issues.
- Software engineering experience in optimizing data pipelines to improve performance and reliability.
- Continuously optimize data pipeline efficiency and reduce operational costs and reduce number of issues/failures
- Automate repetitive tasks in data processing and management
- Experience in monitoring and alerting for Data Pipelines.
- Continuously improve data pipeline reliability through analysis and testing
- Perform SLA-oriented monitoring for critical pipelines and provide suggestions as well implement post business approval for SLA adherence if needed.
- Monitor performance and reliability of GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs.
- Maintain infrastructure reliability for GCP data pipelines, Informatica ETL workflows, MDM and Control-M jobs.
- Conduct post-incident reviews and implement improvements for data pipelines.
- Develop and maintain documentation for data pipeline systems and processes
- Excellent communication and documentation skills.
- Strong problem-solving and analytical skills.
- Open to work in a 24X7 shift.
- Qualifications:
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- Holding GCP Professional Data Engineer certification is an added advantage.
- Excellent verbal and written communication skills.
- Working on Any cloud preferred.
Employment Type: Full Time, Permanent
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