Analyst – Snowflake Data Engineer

1 week ago


Indore, Madhya Pradesh, India Ignatiuz Software Full time
Job DescriptionDesign 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.

RequirementsWorked with a team of people to build an entire product end-to-end. Good Written and verbal communication skills. Proficient understanding of cross-browser compatibility issues and ways to work around them. Knowledge of testing frameworks like Jest

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