SE I - Data Operations
India
Uplight
Uplight supports energy providers around the world with clean energy solutions for customer engagement and grid flexibility management.- Monitor and maintain data pipelines and ETL processes to ensure reliability and performance.
- Automate routine data operations tasks and optimize workflows for scalability and efficiency.
- Troubleshoot and resolve data-related issues, ensuring data quality and integrity.
- Collaborate with data engineering, analytics, and DevOps teams to support data infrastructure.
- Implement monitoring, alerting, and logging systems for data pipelines.
- Maintain and improve data governance, access controls, and compliance with data policies.
- Support deployment and configuration of data tools, services, and platforms.
- Participate in on-call rotation and incident response related to data system outages or failures.
- 2 to 4 years of experience in data operations, data engineering, or a related role.
- Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL).
- Proficiency with data pipeline tools (e.g., Apache Airflow).
- Experience with cloud platforms (AWS, GCP) and cloud-based data services (e.g., Redshift, BigQuery).
- Familiarity with scripting languages such as Python, Bash, or Shell.
- Knowledge of version control (e.g., Git) and CI/CD workflows.
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- Experience with data observability tools (e.g., Splunk, DataDog).
- Background in DevOps or SRE with focus on data systems.
- Exposure to infrastructure-as-code (e.g., Terraform, CloudFormation).
- Knowledge of streaming data platforms (e.g., Kafka, Spark Streaming).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS BigQuery CI/CD CloudFormation Computer Science Data governance DataOps Data pipelines Data quality DevOps Engineering ETL GCP Git Kafka MySQL Pipelines PostgreSQL Python RDBMS Redshift Spark Splunk SQL Streaming Terraform
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