Snowflake Developer

3 days ago

Remote, Oregon, United States Supersourcing Full time $80,000 - $120,000 per year


Responsibilities:

  • Design, develop, and optimize Snowflake data warehouse solutions to meet business requirements.
  • Collaborate with stakeholders to gather and understand data requirements, and translate them into technical specifications.
  • Perform data modeling and schema design to ensure efficient and scalable data storage and retrieval.
  • Develop and maintain ETL processes using Snowflake's features and capabilities, such as stored procedures, tasks, and streams.
  • Implement data integration pipelines to ingest data from various sources into Snowflake, ensuring data quality and integrity.
  • Optimize queries and data processing for performance and scalability, utilizing Snowflake's indexing, clustering, and partitioning techniques.
  • Troubleshoot and resolve data-related issues, including data quality, data transformation, and performance bottlenecks.
  • Collaborate with cross-functional teams, including data engineers, data analysts, and business stakeholders, to deliver high-quality data solutions.
  • Stay up-to-date with the latest Snowflake features and best practices, and evaluate their applicability to enhance existing systems.

Requirements:

Must have 6+ yrs. experience in Snowflake, ETL tools like Informatica, DMX and Data analysis
o Must have 3+ yrs. experience in Python
o Hands on exposure into Unix, Unix shell Scripting
o Must have hands on experience in Oracle, SQL, PostgreSQL, Snowflake.
o Must have hands on Data Warehousing
o Experience in Hadoop, Sqoop, Hive will be added advantage.
o Good to have experience in AWS cloud stack with experience in Aws S3 Athena preferred.
o Must understand any scheduling tools like, Autosys, Control-M, Tivoli etc
o Should be able to handle client independently, take up requirements and suggest solution whenever required

Preferred Skills:

  • Snowflake certification(s).
  • Experience with data visualization tools, such as Tableau or Power BI.
  • Knowledge of scripting languages like Python or Shell scripting.
  • Familiarity with data governance and data security practices.

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