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[HIRING WEEK] Senior Data Engineer (Snowflake)
- Pay
- Pay not listed
- Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting- Employment
- Not stated
What you’ll work on
Full postingDesign, build and support ETL and ELT pipelines on Snowflake and Azure
Model analytics-ready datasets for reporting and business analysis
Tune Snowflake performance across warehouses, queries, loading and cost
Implement orchestration, scheduling, monitoring, alerting and recovery patterns
Mentor engineers through reviews, pairing and shared standards
From the employer’s posting
Design, build and support ETL and ELT pipelines using Snowflake and Azure data services
Model analytics-ready datasets to support reporting and business analysis needs
Tune Snowflake performance across warehouses, queries, loading and cost efficiency
Implement orchestration, scheduling, monitoring, alerting and recovery patterns
Mentor engineers through reviews, pairing and shared standards
What you’ll bring
All qualificationsCore experience
- Hands-on Snowflake expertise across ingestion, transformation, modeling and analytics
- Advanced SQL, including complex transformations, tuning and validation checks
- ETL/ELT delivery experience with incremental loads and change data capture
- Azure Data Factory experience for orchestration and integrations
- Python development for data processing, automation and pipeline tooling
Qualification wording
Hands-on Snowflake expertise across ingestion, transformation, modeling and analytics workloads
Advanced SQL capability including complex transformations, tuning and validation checks
ETL and ELT delivery experience including incremental loads and change data capture patterns
Azure Data Factory experience for orchestration, scheduling, monitoring and integrations
Python development skills for data processing, automation and pipeline tooling
Tools in this posting
- Python
- SQL
- Azure
- Power BI
- Snowflake
- Airflow
Source — Tool mentions in context
We are seeking a Senior Data Engineer (Snowflake) . You design and optimize ELT pipelines, build analytics-ready data models and improve reliability across ingestion, orchestration and monitoring. You will use Snowflake, SQL, Python and Azure Data Factory to deliver trusted datasets that teams can use every day. * Terms and Conditions apply. Responsibilities Design, build and support ETL and ELT pipelines using Snowflake and Azure data services Develop ingestion and transformation processes for batch and incremental loads Model analytics-ready datasets to support reporting and business analysis needs Write and maintain SQL and Python transformations, validations and reusable components Tune Snowflake performance across warehouses, queries, loading and cost efficiency Implement orchestration, scheduling, monitoring, alerting and recovery patterns Embed engineering practices across testing, deployment, CI/CD, documentation and data quality Mentor engineers through reviews, pairing and shared standards Requirements Hands-on Snowflake expertise across ingestion, transformation, modeling and analytics workloads Advanced SQL capability including complex transformations, tuning and validation checks ETL and ELT delivery experience including incremental loads and change data capture patterns Azure Data Factory experience for orchestration, scheduling, monitoring and integrations Python development skills for data processing, automation and pipeline tooling Knowledge of data warehousing concepts including dimensional modeling and modern platform design Snowflake platform knowledge including virtual warehouses, Snowpipe, Streams and Tasks, security and role-based access control (RBAC) Clear communication with the ability to align technical work with business goals Nice to have Microsoft Power BI experience for reporting and semantic layer collaboration Apache Airflow exposure or similar workflow orchestration tools Consulting or client-facing delivery background in technology projects
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 1, 20262 days ago
- Recorded sightings
- 4
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
EPAM Systems is hiring
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Job description
We are seeking a Senior Data Engineer (Snowflake) . You design and optimize ELT pipelines, build analytics-ready data models and improve reliability across ingestion, orchestration and monitoring. You will use Snowflake, SQL, Python and Azure Data Factory to deliver trusted datasets that teams can use every day. * Terms and Conditions apply. Responsibilities Design, build and support ETL and ELT pipelines using Snowflake and Azure data services Develop ingestion and transformation processes for batch and incremental loads Model analytics-ready datasets to support reporting and business analysis needs Write and maintain SQL and Python transformations, validations and reusable components Tune Snowflake performance across warehouses, queries, loading and cost efficiency Implement orchestration, scheduling, monitoring, alerting and recovery patterns Embed engineering practices across testing, deployment, CI/CD, documentation and data quality Mentor engineers through reviews, pairing and shared standards Requirements Hands-on Snowflake expertise across ingestion, transformation, modeling and analytics workloads Advanced SQL capability including complex transformations, tuning and validation checks ETL and ELT delivery experience including incremental loads and change data capture patterns Azure Data Factory experience for orchestration, scheduling, monitoring and integrations Python development skills for data processing, automation and pipeline tooling Knowledge of data warehousing concepts including dimensional modeling and modern platform design Snowflake platform knowledge including virtual warehouses, Snowpipe, Streams and Tasks, security and role-based access control (RBAC) Clear communication with the ability to align technical work with business goals Nice to have Microsoft Power BI experience for reporting and semantic layer collaboration Apache Airflow exposure or similar workflow orchestration tools Consulting or client-facing delivery background in technology projects
Source details
Source notes
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- Pay
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- Location & working pattern
Malaysia
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- Work authorization
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