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Snowflake Data Engineer (RARR Job 5407)

For An Indian Multinational Information Technology Company
8 - 15 Years
Full Time
Up to 30 Days
Up to 35 LPA
2 Position(s)
Bangalore / Bengaluru
Posted 6 Days Ago

Job Skills

Job Description

We are seeking a skilled and experienced Snowflake Data Engineer to join our data engineering team. The ideal candidate will have a strong background in data warehousing, cloud data platforms, and ETL/ELT processes, with a focus on Snowflake. You will be responsible for designing, developing, and maintaining scalable data solutions that support business intelligence and analytics initiatives.

Key Responsibilities

  • Design and implement scalable data pipelines using Snowflake and other cloud-based data platforms.
  • Develop and optimize Snowflake data models, schemas, and stored procedures.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Integrate data from various sources including APIs, flat files, and third-party systems.
  • Ensure data quality, integrity, and security across all data processes.
  • Monitor and troubleshoot performance issues in Snowflake and related data pipelines.
  • Automate data workflows and implement CI/CD practices for data engineering.
  • Maintain documentation for data architecture, processes, and standards.

Required Qualifications & Experience

  • 8+ years of experience in data engineering or software development.
  • Strong hands-on experience with Snowflake, including performance tuning and advanced SQL.
  • Proficiency in ETL/ELT tools (e.g., dbt, Airflow, Informatica).
  • Experience with Azure cloud platforms.
  • Solid understanding of data warehousing, dimensional modeling, and data governance.
  • Proficiency in Python or Scala for data processing.
  • Experience with CI/CD pipelines and version control systems (e.g., Git).
  • Strong problem-solving skills and attention to detail.

Preferred Qualifications

  • Snowflake certification (e.g., SnowPro Core or Advanced).
  • Experience with real-time data streaming (e.g., Kafka, Spark).
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Exposure to business and technical analysis, QA, and emerging technologies.

 

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field.