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Snowflake Data Engineer
1 month ago
Position Overview :
We are looking for a skilled and proactive Snowflake Data Engineer with expertise in Python and SQL to join our data engineering team.
The successful candidate will be responsible for building and optimizing Snowflake-based data solutions and pipelines to support analytics, business intelligence, and data science initiatives.
You will play a key role in managing and scaling our modern cloud data platform and contribute to our mission of driving data-driven Responsibilities :
- Design and develop scalable, secure, and high-performance data pipelines on Snowflake using SQL and Python.
- Build and manage ETL/ELT workflows to ingest, transform, and load structured and semi-structured data from diverse sources.
- Create and maintain data models, views, and materialized views optimized for reporting and analytics.
- Develop Python scripts for data transformation, automation, monitoring, and orchestration tasks.
- Work with cloud storage systems (S3, Azure Blob, GCS) and integration tools to enable seamless data flow.
- Optimize query performance, storage costs, and workload management in Snowflake.
- Ensure data quality, security, and governance in collaboration with architecture and compliance teams.
- Collaborate closely with data analysts, BI teams, and data scientists to provide clean, enriched, and reliable data.
- Develop and maintain documentation, version control, and CI/CD pipelines for data engineering Technical Skills :
Cloud Data Warehouse :
- Snowflake (Core expertise) Warehouses, Virtual Warehouses, Stages, File Formats, Tasks, Streams, Snowpipe
- Deep understanding of Snowflake architecture, storage/compute separation, and zero-copy : Python (Must-have) Pandas, NumPy, connectors (Snowflake Connector for Python or SQLAlchemy), scripting for ETL automation
SQL : Advanced SQL CTEs, window functions, performance tuning, stored procedures, and user-defined functions (UDFs)
Data Ingestion & Orchestration Tools : Experience with any of : Airflow, dbt, Talend, Informatica, Matillion, Azure Data Factory, or Apache NiFi
Cloud Platforms (any one or more) :
- AWS (S3, Lambda, Glue)
- Azure (ADLS, ADF, Synapse)
- GCP (GCS, Dataflow, BigQuery)
File Formats & Data Handling :
- JSON, Parquet, Avro, CSV
- Semi-structured data parsing and transformation in CI/CD, and DevOps :
- Git, Bitbucket, Azure DevOps, GitHub Actions, Jenkins
- Snowflakes Resource Monitors, Query Profiling
- Logging & alerting with tools like Datadog, Splunk, or & Governance :
- Snowflake Roles, RBAC, Access Policies
- Data masking, encryption, and compliance to Have (Preferred) :
- Experience with dbt (Data Build Tool) for data transformation & modeling
- Knowledge of streaming data integration using Kafka, Kinesis, or Snowpipe
- Familiarity with ML integration using Python on Snowflake with external functions
- Experience in Agile/Scrum environments
(ref:hirist.tech)