What are the responsibilities and job description for the Sr Snowflake/DWH/ETL Informatica Consultant position at Hermitage Infotech?
Please go through the below req and reply me back with your updated resume, minimum expected hourly rate, visa status, related visa copy, DL copy and let us know your availability. Please fill up all the details including your linked in ID so that I can submit your resume to my client for further process. Please email the resume to varma@hermitageinfotech.com
Snowflake/DWH/ETL Consultant
Location: Remote
The Contractor requires the following skills, abilities, and background:
* 7 years of experience in data engineering or data warehousing roles.
* 5 years of hands-on Snowflake experience in production environments, including:
o Creating and managing databases, schemas, roles, and grants.
o Designing and implementing Streams and Tasks for CDC and scheduled
processing.
o Building and optimizing materialized views and performance-driven data models.
* Expert-level SQL skills, with deep experience in complex window functions, CTEs,
analytic queries, set-based transformations, and query performance tuning.
* 4 years of experience with ELT frameworks or transformation tools, preferably dbt.
* Experience integrating Snowflake with Azure cloud storage and upstream financial
systems.
* Demonstrated experience implementing GitLab CI/CD for SQL-based transformations
and Snowflake object deployments.
* Strong understanding of analytical data modeling, including star schemas, slowly
changing dimensions, fact tables, aggregates, and large-scale time-series structures.
* Experience supporting high-volume, performance-sensitive financial or portfolio
datasets.
* Familiarity with portfolio accounting, security master data, market data feeds, or risk
concepts such as VaR, factor exposure, stress testing, or performance attribution.
A senior-level Snowflake Data Warehouse Engineer with 7 years of data engineering
experience and 5 years of hands-on Snowflake experience in production environments. This
role will deliver scalable, high-performant data warehouse powering investment risk and
portfolio analytics.
The ideal candidate has built and optimized enterprise-grade analytical platforms, implemented
robust CDC frameworks, and supported performance-sensitive financial reporting workloads.
The resource will assist with developing reliable, governed, and performant data solutions that
enable exposure reporting, factor analysis, time-series risk metrics, stress testing, and
performance attribution. This role works closely with business intelligence engineers, data
architects, and data scientists.
The selected Contractor will be responsible for the following essential activities:
* Implement Snowflake schemas and object lifecycle strategies optimized for risk and
portfolio analytics workloads.
* Develop scalable, dimensional, and time-series data models supporting portfolio
hierarchies, positions, security master integration, exposures, and risk metrics.
* Build robust ELT pipelines using dbt and native Snowflake capabilities, including
Streams, Tasks, and Snowpipe, to support daily and intraday data processing.
* Implement efficient change data capture and incremental processing strategies for
position, pricing, risk, and reference data.
* Develop and maintain high-performance tables, views, and materialized views aligned
with performance-sensitive analytical use cases.
* Lead query performance optimization efforts, including clustering strategy design,
micro-partition awareness, warehouse sizing, caching behavior, and workload
management.
* Establish data quality frameworks, including reconciliation controls, completeness
checks, monitoring, and alerting for financial datasets.
* Automate Snowflake deployments and SQL transformations using GitLab CI/CD pipelines
and version control best practices.
* Document data models, lineage, architectural decisions, governance controls, and
operational runbooks.
* Troubleshoot production failures, perform root cause analysis, and remediate issues
impacting reporting timelines.
Regards
Varma
732-338-7524
varma@hermitageinfotech.com
Snowflake/DWH/ETL Consultant
Location: Remote
The Contractor requires the following skills, abilities, and background:
* 7 years of experience in data engineering or data warehousing roles.
* 5 years of hands-on Snowflake experience in production environments, including:
o Creating and managing databases, schemas, roles, and grants.
o Designing and implementing Streams and Tasks for CDC and scheduled
processing.
o Building and optimizing materialized views and performance-driven data models.
* Expert-level SQL skills, with deep experience in complex window functions, CTEs,
analytic queries, set-based transformations, and query performance tuning.
* 4 years of experience with ELT frameworks or transformation tools, preferably dbt.
* Experience integrating Snowflake with Azure cloud storage and upstream financial
systems.
* Demonstrated experience implementing GitLab CI/CD for SQL-based transformations
and Snowflake object deployments.
* Strong understanding of analytical data modeling, including star schemas, slowly
changing dimensions, fact tables, aggregates, and large-scale time-series structures.
* Experience supporting high-volume, performance-sensitive financial or portfolio
datasets.
* Familiarity with portfolio accounting, security master data, market data feeds, or risk
concepts such as VaR, factor exposure, stress testing, or performance attribution.
A senior-level Snowflake Data Warehouse Engineer with 7 years of data engineering
experience and 5 years of hands-on Snowflake experience in production environments. This
role will deliver scalable, high-performant data warehouse powering investment risk and
portfolio analytics.
The ideal candidate has built and optimized enterprise-grade analytical platforms, implemented
robust CDC frameworks, and supported performance-sensitive financial reporting workloads.
The resource will assist with developing reliable, governed, and performant data solutions that
enable exposure reporting, factor analysis, time-series risk metrics, stress testing, and
performance attribution. This role works closely with business intelligence engineers, data
architects, and data scientists.
The selected Contractor will be responsible for the following essential activities:
* Implement Snowflake schemas and object lifecycle strategies optimized for risk and
portfolio analytics workloads.
* Develop scalable, dimensional, and time-series data models supporting portfolio
hierarchies, positions, security master integration, exposures, and risk metrics.
* Build robust ELT pipelines using dbt and native Snowflake capabilities, including
Streams, Tasks, and Snowpipe, to support daily and intraday data processing.
* Implement efficient change data capture and incremental processing strategies for
position, pricing, risk, and reference data.
* Develop and maintain high-performance tables, views, and materialized views aligned
with performance-sensitive analytical use cases.
* Lead query performance optimization efforts, including clustering strategy design,
micro-partition awareness, warehouse sizing, caching behavior, and workload
management.
* Establish data quality frameworks, including reconciliation controls, completeness
checks, monitoring, and alerting for financial datasets.
* Automate Snowflake deployments and SQL transformations using GitLab CI/CD pipelines
and version control best practices.
* Document data models, lineage, architectural decisions, governance controls, and
operational runbooks.
* Troubleshoot production failures, perform root cause analysis, and remediate issues
impacting reporting timelines.
Regards
Varma
732-338-7524
varma@hermitageinfotech.com