Snowflake Data Engineer
3 days ago
We are looking for a skilled
Data Engineer with strong Snowflake expertise
who can also handle
production support
activities for data pipelines, ETL workflows, and Snowflake environments. The ideal candidate should have hands-on experience in building and maintaining scalable data solutions along with troubleshooting and resolving production issues in real time.
Key Responsibilities
Data Engineering
- Design, develop, and optimize
Snowflake data pipelines
, schemas, and data models. - Develop ETL/ELT workflows using tools such as
Informatica, DBT, Airflow, Matillion, or Python
. - Create and maintain
Snowflake objects
(tables, views, stages, warehouses, tasks, streams, pipes). - Implement
best practices
for performance tuning, query optimization, and cost management. - Integrate Snowflake with cloud platforms (AWS / Azure / GCP).
Production Support
- Monitor daily batch jobs, pipelines, and Snowflake workloads.
- Troubleshoot failures, performance issues, and data quality challenges.
- Work on incident management, root cause analysis (RCA), and preventive actions.
- Respond to alerts, handle L2/L3 support, and ensure
SLA compliance
. - Coordinate with data engineering, DevOps, and platform teams to resolve issues.
Technical Skills Required
- Strong hands-on experience with
Snowflake
(SQL, Warehouse configuration, Performance tuning). - Solid experience with
SQL
(complex queries, debugging, optimization). - Skills in
Python
or
Shell scripting
for automation. - Knowledge of
ETL tools
(Informatica / Talend / Matillion / DBT / Airflow). - Experience working in
Cloud (AWS / Azure / GCP)
ecosystem. - Understanding of
Data Warehousing concepts
and data modeling. - Experience with monitoring tools (CloudWatch, Datadog, Splunk, etc.).
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