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Data Engineer - Snowflakes Developer

Merck
Bengaluru, IND
Full-time
Junior · 1–2 years experience
Onsite
Discovered 1 weeks ago
awsazuredbtgcpgitpython

Full Job Posting

Who you are:

  • As a Junior Snowflake Developer, you will help design, build, and optimize cloud data structures on the Snowflake platform. You will work closely with senior data engineers, architects, and analytics teams to turn raw data into clean, usable business information.
  • Database & Schema Support: Assist in creating and maintaining Snowflake databases, schemas, tables, and views.
  • SQL Development: Write, test, and optimize SQL queries for data extraction and transformation.
  • ETL/ELT Pipelines: Help build and monitor data pipelines using tools like dbt, Fivetran, or Snowflake-native features like Streams & Tasks and Snowpipe.
  • Environment Maintenance: Support performance tuning, virtual warehouse monitoring, and basic cost-management tasks.
  • Data Quality & Testing: Run validation checks to ensure data accuracy and integrity across tables.
  • Collaboration: Partner with senior team members to troubleshoot pipeline errors and document data workflows.
  • Your role:
  • Experience: 1 to 2 years of experience in data engineering, data warehousing, or analytics engineering (freshers may apply depending on the company).
  • Core Technical Skills:
  • Strong SQL proficiency.
  • Basic-to-working knowledge of Python (and familiarity with Snowpark is a plus).
  • Understanding of ETL/ELT concepts and relational data modeling (fact and dimension tables, star schemas).
  • Snowflake Knowledge:
  • Familiarity with Snowflake architecture (virtual warehouses, micro-partitions, time travel).
  • Exposure to Snowflake objects (stages, tasks, streams).
  • Cloud & Tools: Basic exposure to a major cloud platform ( AWS, Azure, or GCP ) and version control tools like Git.
  • Certifications (Preferred/Mandatory): Holding a Snowflake SnowPro Core Certification is often required or strongly preferred for junior roles.
  • What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
  • Apply now and become a part of our diverse team!
  • 1 to 2 years of experience in data engineering, data warehousing, or analytics engineering (freshers may apply depending on the company).

Preferred Qualifications

  • Basic-to-working knowledge of Python (and familiarity with Snowpark is a plus).
  • Certifications (Preferred/Mandatory): Holding a Snowflake SnowPro Core Certification is often required or strongly preferred for junior roles.

Responsibilities

  • Experience: 1 to 2 years of experience in data engineering, data warehousing, or analytics engineering (freshers may apply depending on the company).
  • Core Technical Skills:
  • Strong SQL proficiency.
  • Basic-to-working knowledge of Python (and familiarity with Snowpark is a plus).
  • Understanding of ETL/ELT concepts and relational data modeling (fact and dimension tables, star schemas).
  • Snowflake Knowledge:
  • Familiarity with Snowflake architecture (virtual warehouses, micro-partitions, time travel).
  • Exposure to Snowflake objects (stages, tasks, streams).
  • Cloud & Tools: Basic exposure to a major cloud platform ( AWS, Azure, or GCP ) and version control tools like Git.
  • Certifications (Preferred/Mandatory): Holding a Snowflake SnowPro Core Certification is often required or strongly preferred for junior roles.

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