Overview
On Site
Full Time
Skills
snowflake
snowpro
Job Details
Fulltime job Opportunity
Tittle : Snowflake Data Engineer
Location: Dallas TX (Day 1 Onsite)
Key Responsibilities
- Design and implement Snowflake schemas (star, snowflake, data vault) optimized with micro-partitioning, clustering keys, materialized views, and search optimization services.
- Build real-time and batch ingestion pipelines into Snowflake using Snowpipe, Kafka Connect, Fivetran, Matillion, Informatica, or dbt.
- Automate incremental data processing with Streams & Tasks to support CDC (Change Data Capture).
- Use Zero-Copy Cloning for environment management, testing, and sandboxing.
- Apply Time Travel and Fail-safe features for data recovery and auditing.
- Develop data transformation logic in Snowpark for Python/SQL/Scala to push compute directly into Snowflake.
- Design integrations with cloud storage (S3, Azure ADLS, GCS) for staging and external tables.
- Implement data sharing and data marketplace solutions via Snowflake Secure Data Sharing and Snowflake Marketplace.
- Enable semi-structured data handling (JSON, Avro, Parquet, ORC, XML) using VARIANT columns and lateral flattening.
- Integrate Snowflake with BI tools (Power BI, Tableau) via live connections and semantic layers.
- Implement RBAC (Role-Based Access Control), Row Access Policies, and Dynamic Data Masking for data security.
- Optimize compute usage with multi-cluster warehouses, resource monitors, and query performance tuning.
- Manage cost optimization strategies (warehouse auto-suspend, query profiling, storage/compute separation).
- Integrate with data catalog & governance platforms (Collibra, Alation, Informatica CDGC) using Snowflake metadata and APIs.
- Work with domain teams to deliver data products leveraging Snowflake's data mesh-friendly features.
- Collaborate with architects to design a Snowflake-centric data fabric integrated with ETL/ELT and API layers.
- Support CI/CD automation for Snowflake code deployment using GitHub Actions, Azure DevOps, or dbt Cloud.
Qualifications
- Education: Bachelor's or Master's in Computer Science, Data Engineering, or related field.
- Experience:
- 10+ years of data engineering experience, with 5+ years in Snowflake Data Cloud.
- Expertise in SQL optimization and Snowflake performance tuning.
- Hands-on with Snowpipe, Streams & Tasks, Snowpark, Zero-Copy Cloning, and Secure Data Sharing.
- Proficiency in Python, Scala, or Java for Snowpark development.
- Experience integrating with cloud platforms like AWS.
- Exposure to ETL/ELT tools (Informatica, Matillion, Fivetran).
- Familiarity with CI/CD, Git, DevOps practices for data operations.
- Preferred Certifications:
- SnowPro Core Certification
Key Skills
- Snowflake-native feature design and implementation (Snowpark, Streams, Time Travel, Secure Data Sharing)
- Data ingestion (Snowpipe, CDC, Kafka, Fivetran)
- Semi-structured data handling (VARIANT, JSON, Avro, Parquet)
- Advanced SQL and performance tuning
- Data governance (RBAC, masking, lineage, catalogs)
- Cloud data platform integrations (AWS S3, Azure ADLS, Google Cloud Platform GCS)
- BI and analytics tool integration
- Cost optimization and warehouse orchestration
Thanks &Regards
Rahul Sharma | Team Lead
Amaze Systems Inc
E: |
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