
Data Engineer
3 weeks ago
Job Description :
We are looking for an experienced Snowflake Engineer to join our data engineering team.
The ideal candidate will have in-depth expertise in data warehousing, ETL/ELT pipelines, and Snowflake architecture.
You will be responsible for building and optimizing scalable data solutions that support advanced analytics, BI, and enterprise data strategies.
Key Responsibilities :
- Develop and optimize views, stored procedures, and user-defined functions in Snowflake SQL.
- Build dimensional models and ensure data is structured for performance and scalability.
- Build ETL/ELT pipelines using tools like Informatica, Matillion, dbt, Apache Airflow, or native Snowflake tasks.
- Integrate diverse data sources (structured/unstructured) into Snowflake from cloud/on-prem systems.
- Optimize pipeline performance and manage data quality and lineage.
- Work with cloud platforms such as AWS, GCP, or Azure for Snowflake integration and storage
(e.g., S3, GCS, Blob Storage).
- Utilize Snowpipe, Streams, Tasks, and Stages for continuous data loading and transformation.
- Implement and manage data security, access control, RBAC, and data masking in Snowflake.
- Ensure compliance with organizational and regulatory data policies (GDPR, HIPAA, etc.).
- Tune query performance and warehouse sizing using Snowflakes performance optimization tools.
- Monitor cost usage and optimize resource consumption within Snowflake.
- Collaborate with data scientists, analysts, and BI teams to meet data requirements.
- Document technical designs, data flows, and processes for knowledge sharing and compliance.
Must-Have Skills :
- 2+ years of hands-on Snowflake development and administration
- Strong command of SQL, performance tuning, and Snowflake-specific features
- Hands-on experience with ETL tools (Informatica, Talend, dbt, Matillion, etc.)
- Familiarity with cloud services (AWS S3/Redshift, GCP BigQuery, Azure Synapse)
- Experience with data modeling, data partitioning, and columnar storage concepts
- Strong understanding of data governance, data quality, and security best practices
- Snowflake certification (e.g., SnowPro Core or Advanced Architect)
- Python or scripting experience for orchestration
- Experience with CI/CD pipelines for data deployments
- Exposure to streaming data (Kafka, Kinesis, etc.)
- Familiarity with BI tools like Tableau, Power BI, or Looker
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