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Snowflake Engineer

Role overview

Qualifications

  • 1–3 years of hands-on experience in Data Engineering, Data Warehousing, or a related role
  • Hands-on experience with Snowflake
  • Strong SQL skills
  • Working knowledge of Python

Responsibilities

  • Develop and maintain data pipelines using Snowflake and SQL
  • Write complex SQL queries for data transformation, extraction, and analysis
  • Build and maintain ETL/ELT pipelines from multiple data sources
  • Optimize SQL queries and Snowflake workloads for performance and cost

Key facts

Hard skills

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication
  • Collaboration
  • Detail Oriented
  • Willingness To Learn

About the company

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Dhan AI

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Company details

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Job description

This is a remote position.

Snowflake Engineer

Experience: 1–3 Years
Location: Hyderabad / Remote
Employment Type: Full-time

About the Role

We are looking for a Snowflake Engineer with 1–3 years of hands-on experience in data engineering and cloud data platforms. The ideal candidate should have practical experience working with Snowflake, SQL, Python, and ETL/ELT pipelines and be comfortable working with large datasets.

This role is suited for someone who enjoys solving data problems, learning new technologies, and building scalable data solutions.

Key Responsibilities

  • Develop and maintain data pipelines using Snowflake and SQL.
  • Write complex SQL queries for data transformation, extraction, and analysis.
  • Build and maintain ETL/ELT pipelines from multiple data sources.
  • Work with Snowflake features such as Streams, Tasks, Snow pipe, and stored procedures.
  • Develop data transformations and automation using Python.
  • Create and maintain tables, views, schemas, and data models in Snowflake.
  • Monitor and troubleshoot data pipelines and resolve data quality issues.
  • Optimize SQL queries and Snowflake workloads for performance and cost.
  • Work with cloud storage and services such as AWS S3, Azure Blob Storage, or GCP.
  • Collaborate with senior engineers, analysts, and other stakeholders to understand data requirements.
  • Participate in code reviews, testing, deployment, and technical documentation.
  • Follow best practices for data security, quality, and reliability.

Required Skills

  • 1–3 years of hands-on experience in Data Engineering, Data Warehousing, or a related role.
  • Hands-on experience with Snowflake.
  • Strong SQL skills.
  • Working knowledge of Python.
  • Understanding of ETL/ELT pipelines and data integration.
  • Basic understanding of data modelling and database concepts.
  • Experience working with at least one cloud platform — AWS, Azure, or GCP.
  • Familiarity with Git/version control.
  • Good analytical and problem-solving skills.


Requirements

Good to Have

  • Experience with Snowflake Streams, Tasks, Snow pipe, or Dynamic Tables.
  • Experience with dbt.
  • Familiarity with Apache Airflow or other workflow orchestration tools.
  • Exposure to AWS services such as S3, Lambda, Glue, or Redshift.
  • Experience with APIs, JSON, or other data formats.
  • Exposure to CI/CD practices.
  • Understanding of data quality and data governance.
  • Snowflake certification.

What We're Looking For

  • Strong hands-on and practical approach to problem-solving.
  • Ability to understand requirements and translate them into technical solutions.
  • Good communication and collaboration skills.
  • Willingness to learn and work with modern data technologies.
  • Ability to work independently while collaborating with senior team members.
  • Strong attention to detail and data quality.


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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