FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates foundational knowledge of Python and SQL, with a strong interest in Airflow, ADF, Snowflake, Dataiku, and Spark. Capable of contributing to data platform operations and improvements within a DataOps team while adhering to security best practices and optimizing production pipelines.
Highest-signal resume keywords
PythonSQLAirflowSnowflakeDataOps
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonSQLAirflowADFSnowflakeDataikuSparkData Pipeline OptimizationProduction MonitoringData Usage Monitoring
Soft Skills
CuriosityProactive ApproachAttention to DetailAbility to Learn QuicklyProgressive Autonomy
Certifications & Qualifications
Master’s-Level Degree in Data/Information Technology
Industry Keywords
DataOpsAccess ManagementSecurity Best PracticesFinOpsProduction Incidents
Tech Stack
Tools & technologiesAirflowCloudPythonSnowflakeSparkSQLGo
About the role
Key responsibilities & impact- Participate in the deployment and daily monitoring of production pipelines under supervision
- Gradually design Airflow DAGs and simple ADF pipelines
- Contribute to diagnosing production incidents and documenting operating procedures
- Become familiar with access management and security best practices
- Propose optimization opportunities for existing jobs and pipelines
- Participate in discussions with Data Engineers, Data Scientists, Business Analysts, and business stakeholders
- Develop an understanding of Snowflake usage monitoring and FinOps best practices
- Operate, maintain, and continuously improve a data platform as part of a DataOps team
Requirements
What you’ll need- Foundational knowledge of Python and SQL
- Knowledge of, or a strong interest in, Airflow/ADF, Snowflake, Dataiku, and Spark
- Experience in a similar environment is essential
- 2 to 4 years of experience
- Master’s-level degree in data/information technology or equivalent
- Strong interest in the Cloud/Data environment
- Curiosity and a strong technical aptitude
- Proactive approach
- Ability to learn quickly
- Progressive autonomy
- Rigor and attention to detail
- Motivation to develop skills with the support of an experienced/senior professional
Benefits
Comp & perks- A multicultural, stimulating, and learning-oriented environment
- Professional and personal development
- Support from an experienced/senior professional
- Opportunities to contribute to strategic, operational, and technology projects
- Opportunities to develop your skills