Data Engineer – Snowflake

Prominence Advisors, Inc

Deutschland

In loco

EUR 85.000 - 120.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

Jobtailor in Germany is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and workflows that power analytics. You will transform raw sources from EHRs, claims, APIs, and CRMs into analytics-ready Snowflake structures and integrate development with CI/CD and version control.

You will collaborate with client architects and analysts, optimize Snowflake workloads, and mentor teammates.

Competenze

  • 3+ years in data engineering or related roles.
  • 2+ years Snowflake experience in production environments.
  • Strong knowledge of data warehousing concepts and ETL/ELT.

Mansioni

  • Design, build, and maintain pipelines and workflows that enable customers to use their data.
  • Transform raw data sources into clean, reliable, and scalable data streams.
  • Build scalable pipelines ingesting, transforming, and delivering data from EHRs, claims, APIs, and CRM systems into analytics-ready Snowflake structures.
  • Integrate pipeline development with version control and CI/CD for repeatable deployments, change tracking, and approval gates.
  • Analyze query profiles, optimize queries, and debug Snowflake workloads.

Conoscenze

Data Pipeline Engineering
ETL/ELT Principles
Python Programming
Cloud Provider Experience
Mentoring

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Dbt
Apache Airflow
Azure Data Factory
Snowflake Streams
Snowpark

Descrizione del lavoro

  • Design, build, and maintain pipelines and workflows that enable customers to use their data
  • Transform raw data sources into clean, reliable, and scalable data streams
  • Build scalable pipelines ingesting, transforming, and delivering data from EHRs, claims, APIs, and CRM systems into analytics-ready Snowflake structures
  • Integrate pipeline development with version control and CI/CD for repeatable deployments, change tracking, and approval gates
  • Analyze query profiles, optimize queries, and debug Snowflake workloads
  • Manage warehouse sizing, scaling policies, and credit/cost considerations
  • Work directly with client architects and analysts to explain and implement technical tradeoffs
  • Teach counterparts how to support and expand project deliverables
  • Adapt to new and unfamiliar technical challenges
  • Manage multifaceted work streams, schedules, deadlines, and personal work product
  • Anticipate issues and escape effectively
  • Mentor and guide others
Requirements
  • 3+ years of professional experience in data engineering or related roles
  • 2+ years of hands‑on Snowflake experience in a production environment
  • Strong Snowflake development experience, including query profile analysis, query optimization, and debugging
  • Experience with virtual warehouse sizing, scaling policies, and credit/cost management
  • Experience with COPY INTO, Snowpipe, external stages, and external tables
  • Knowledge of clustering keys, micro‑partition behavior, materialized views, Time Travel, and zero‑copy cloning
  • Knowledge of Snowflake roles, grants, and RBAC hierarchy design
  • Proficiency in Python or another programming/scripting language such as Scala or Java
  • Experience with dbt, Snowflake Streams and Tasks, Dynamic Tables, Snowpark (Python), Apache Airflow, Azure Data Factory, or another orchestration framework
  • Solid grounding in ETL/ELT principles, dimensional and data‑vault‑style modeling, and data warehousing concepts
  • Experience with at least one major cloud provider (AWS, Azure, or GCP), including storage and networking basics as they relate to Snowflake integrations
  • Suitable home office to operate from
  • No relocation required
Core Competencies

Demonstrates expertise in building and maintaining data pipelines, with a strong focus on Snowflake development, query optimization, and data transformation. Proficient in managing cloud integrations and mentoring team members to enhance project deliverables.

Highest-signal resume keywords
  • Snowflake Development
  • Data Pipeline Engineering
  • ETL/ELT Principles
  • Python Programming
  • Cloud Provider Experience
ATS Optimization Keywords
Hard Skills
  • Data Engineering
  • Query Optimization
  • Snowflake Workloads Debugging
  • COPY INTO
  • Snowpipe
  • External Stages
  • Materialized Views
  • RBAC Hierarchy Design
  • Dimensional Modeling
  • Data Warehousing Concepts
Soft Skills
  • Mentoring
  • Problem‑Solving
  • Effective Communication
  • Adaptability
  • Time Management
Industry Keywords
  • EHRs
  • Claims
  • APIs
  • CRM Systems
  • Cloud Integrations
Tools & Technologies
  • Dbt
  • Apache Airflow
  • Azure Data Factory
  • Snowflake Streams
  • Snowpark
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