Developer(Cloud and Snowflake)

TechDigital Group; Minneapolis (MN); On-site; USD 80,000 - 120,000; Full time

Job summary

A forward-thinking company is seeking a skilled data engineer to enhance their Snowflake platform. In this role, you will design and optimize data models, implement performance tuning strategies, and manage security policies to ensure data governance. Collaborating with cross-functional teams, you will build and maintain ETL/ELT pipelines, integrating with various cloud storage solutions. This position offers an exciting opportunity to work with cutting-edge technologies in a dynamic environment, where your contributions will significantly impact data-driven decision-making and operational efficiency.

Qualifications

• Expertise in Snowflake for data modeling and optimization.
• Strong skills in ETL/ELT pipeline development and cloud data integration.

Responsibilities

• Design and develop data models and optimized queries in Snowflake.
• Build and maintain ETL/ELT data pipelines using various tools.

Skills

Snowflake Development

Data Modeling

Performance Tuning

Cloud Platforms (AWS, Azure, GCP)

ETL/ELT Pipeline Development

Data Quality Assurance

Agile Methodologies

Tools

dbt

Matillion

Airflow

Azure Data Factory

S3

ADLS

GCS

Job description

Job Details:

Snowflake Development & Optimization:

1. Design and develop data models, schemas, and optimized queries in Snowflake.
2. Implement performance tuning strategies (clustering, caching, partitioning) to enhance query performance.
3. Manage Snowflake roles, access controls, and security policies to ensure data governance.

Cloud Data Engineering:

1. Deploy and manage Snowflake on cloud platforms (AWS, Azure, or GCP).
2. Integrate Snowflake with cloud storage (S3, ADLS, GCS) and cloud data services.
3. Automate data ingestion, transformation, and processing using cloud-native tools.

ETL/ELT & Pipeline Development:

1. Build and maintain ETL/ELT data pipelines using tools like dbt, Matillion, Airflow, or Azure Data Factory.
2. Ensure data quality, lineage, and integrity throughout the pipeline.
3. Work with structured, semi-structured (JSON, Parquet, Avro), and unstructured data.

Security & Compliance:

1. Implement data encryption, masking, and access control policies in Snowflake.
2. Ensure compliance with GDPR, HIPAA, or industry security standards.
3. Monitor data usage and optimize storage and compute costs.

Collaboration & Agile Development:

1. Work closely with data engineers, analysts, and business teams to define data solutions.
2. Participate in agile development, sprint planning, and technical discussions.
3. Document best practices, architectural decisions, and data governance policies.