Senior Snowflake Developer

2 weeks ago


Gurgaon, Haryana, India HUB Full time
About Opportunity


We are currently looking for a Senior Snowflake Developer to join our team to help evolve our database engineering practice.

We're looking for developers who are passionate and enthusiastic database people at heart.

We're investing a lot in building our data platforms using exciting, advanced technologies and moving to a more sustainable architecture.

Here you will have an opportunity to solve complex problem with cutting edge technologies and to learn new skills.

Responsibilities

Data architecture. Design and implement new features and changes of the current data models.
Participate in architecture and design to ensure that our systems are scalable, reliable, robust, and secure.
Build, maintain and continuously improve data related part of the products.
Designing and code reviewing for other engineers contributing to a culture of skills share and continuous growth.
Identify and troubleshoot production issues and provide quick, robust and reliable resolution.
Collaborate with other teams to ensure that our systems are designed and built for reliability, scalability and maintainability. We build it, we own it.

Contribute to a culture of continuous improvement of our system being active part in monitoring systems and proposing performance and usability.

Mentor other engineers on database best practices and processesContribute to establish structured methodologies and processes to bring the database development though the whole change and release management process.

Qualifications

You should have: 6 -10 years of experience

Technical Skills:
Advanced SQL expertise: Ability to write complex queries and optimize them for performancePerformance tuning and setting up resource monitorsSQL performance measuring, query tuning, and database tuningData warehousing design: Proficiency in designing scalable and secure data warehousing solutions within SnowflakeAbility to build analytical solutions and modelsPerformance tuning: Skills to fine-tune Snowflake settings for handling large volumes of data with optimal speed and efficiencyData modeling: Expertise in creating logical and physical data models to support analytics and business intelligenceKnowledge of Snowflake's security features: In-depth understanding of Snowflake's security mechanisms, such as data encryption and access controlsGood understanding of Snowflake warehousing, architecture, processing, administrationETL processes: Extensive experience with tools and techniques for extracting, transforming, and loading data into SnowflakeManaging sets of XML, JSON, and CSV from disparate sourcesData ingestion into Snowflake and native connectors

Data Governance:
Good understanding of solid foundational data warehousing concepts, data modeling, metadata management, multi-dimensional models, data dictionariesSnowflake modelling – roles, databases, schemasProficient in languages like Python and JavaEnterprise-level technical exposure to Snowflake applications

Nice to have working knowledge of:
Hybrid tables, External tables, Iceberg tablesSQL API, Snowpark APIContinuous data pipelines and protectionNative app frameworkExternal functionsConnectors and DriversSupported cloud regions and platformsNearly zero administrationCloud agnostic solutionConcurrency and workload isolation

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