Data Engineer L2 Support
Data Engineer L2 Support
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Salary Not Disclosed
1 Vacancy
Job Description
- Gather and analyze relevant information to diagnose reported data issues.
- Trace issues within data pipelines identifying root causes.
- Provide initial feedback to the issue reporter as appropriate.
- Document issues thoroughly including actions taken timeline time spent and any impediments encountered.
- Summarize findings and escalate to the core Data Engineering team when necessary for further investigation.
- Develop or follow existing SOPs to address recurring issues and streamline processes.
- Make intuitive connections between data inputs and outputs even when working with partially opaque ETL pipelines (e.g. in Customer Success Management).
- SQL Strong proficiency in writing complex queries and troubleshooting.
- Python Experience with scripting and automating data processes.
- Data Issue Troubleshooting Ability to trace and communicate data issues and propose solutions independently.
- SOP Management Ability to follow existing standard operating procedures or develop new ones.
- Apache Airflow Knowledge of task orchestration and workflow management.
- BigQuery (BQ) Experience with Googles BigQuery platform.
- HANA Studio Familiarity with SAP HANA Studio for data management.
- PySpark Experience with distributed data processing.
- Available for night shift monitoring particularly in emergency scenarios to ensure smooth data pipeline operations.
- Bachelor s degree in Computer Science Information Technology or a related field.
- 35 years of experience in a similar role with a proven track record in data issue resolution.
hana studio,data issue troubleshooting,bigquery (bq),airflow,big data,spark,python,pyspark,hana,troubleshooting,core data,sop management,data,data engineering,apache airflow,trace,extract, transform, load (etl),sop development,sql,pipelines,python scripting,management
Employment Type
Full Time
