Hello,
My name is Piyush Parsai, and I am a Technical Recruiter for K-Tek Resourcing.
We are searching for Professionals below business requirements for one of our clients. Please read through the requirements and connect with us in case it suits your profile.
We are searching for Professionals below business requirements for one of our clients. Please read through the requirements and connect with us in case it suits your profile.
Please see the Job Description and if you feel Interested then send me your updated resume at [email protected]
Please don't share an already submitted profile on HCL America,
Please Attach Local DL copy from Minnesota with the Resume for quick response.
Job Title: Cloud and Snowflake Developer
Location:
Minneapolis, MN
Minneapolis, MN
Duration: Long Term
implementation Partner: HCL America
| Job Description (Posting). | Job Details: Snowflake Development & Optimization: • Design and develop data models, schemas, and optimized queries in Snowflake. • Implement performance tuning strategies (clustering, caching, partitioning) to enhance query performance. • Manage Snowflake roles, access controls, and security policies to ensure data governance. Cloud Data Engineering: • Deploy and manage Snowflake on cloud platforms (AWS, Azure, or GCP). • Integrate Snowflake with cloud storage (S3, ADLS, GCS) and cloud data services. • Automate data ingestion, transformation, and processing using cloud-native tools. ETL/ELT & Pipeline Development: • Build and maintain ETL/ELT data pipelines using tools like dbt, Matillion, Airflow, or Azure Data Factory. • Ensure data quality, lineage, and integrity throughout the pipeline. • Work with structured, semi-structured (JSON, Parquet, Avro), and unstructured data. Security & Compliance: • Implement data encryption, masking, and access control policies in Snowflake. • Ensure compliance with GDPR, HIPAA, or industry security standards. • Monitor data usage and optimize storage and compute costs. Collaboration & Agile Development: • Work closely with data engineers, analysts, and business teams to define data solutions. • Participate in agile development, sprint planning, and technical discussions. • Document best practices, architectural decisions, and data governance policies. |