Analyst – Snowflake Data Engineer

2 weeks ago


Indore, India Ignatiuz Software Full time
  • Design and implement data pipelines to extract, transform, and load (ETL) data from various sources into Snowflake.
  • Develop and optimize data models, tables, and schemas within Snowflake to support efficient data storage and retrieval.
  • Collaborate with data architects and stakeholders to understand data requirements and optimize schema design for performance and scalability.
  • Optimize query performance by analyzing query execution plans, identifying bottlenecks, and fine-tuning SQL queries.
  • Manage and optimize the data warehouse infrastructure within Snowflake, including virtual warehouse provisioning, configuration, and resource allocation.
  • Perform data transformations and manipulations using SQL, Snowflake's built-in functions, and data manipulation techniques.
  • Ensure data quality by implementing data validation checks, profiling, and cleansing processes within Snowflake.
  • Establish and enforce data governance practices, including metadata management, data lineage, and security controls within Snowflake.
  • Monitor the health and performance of Snowflake's data infrastructure, set up monitoring tools, and proactively identify and resolve issues.
  • Collaborate with cross-functional teams, including data analysts, data scientists, and business users, to understand data requirements and provide necessary support.
  • Document data pipelines, transformations, and workflows to ensure knowledge sharing and maintain system documentation.


Requirements
  • Strong experience working with Snowflake, including data ingestion, modelling, performance optimization, and data transformation.
  • Proficient in SQL and database concepts, with a deep understanding of data warehousing principles.
  • Experience with ETL tools, data integration, and data pipeline development.
  • Strong analytical and problem-solving skills, with the ability to optimize queries and troubleshoot data-related issues.
  • Knowledge of cloud platforms (such as AWS, Azure, or GCP) and experience with cloud-based data solutions.
  • Familiarity with data governance, data quality, and security practices.





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