Snowflake Data Engineer

24 hours ago

Chennai, Tamil Nadu, India Randomtrees Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Role: Data Engineer

Experience: 3 to 16 Years

Location: Chennai(3 days office in a week)

Mandatory Skills: Data Warehousing, Data Modelling, Snowflake, Data Build Tool(DBT), SQL, Any cloud(AWS/Azure/GCP), Python/Pyspark(Good to have)

Overview of the requirement:

We are looking for a skilled Data Architect/ Sr. Data Engineer to design and implement data solutions supporting Marketing, Sales, and Customer Service areas. The ideal candidate will have experience with DBT, Snowflake, Python(Good to have) and Azure/AWS/GCP, along with a strong foundation Cloud Platforms. You will be responsible for developing scalable, efficient data architectures that enable personalized customer experiences and advanced analytics.

Roles and Responsibility:

  • Implement and maintain data warehousing solutions in Snowflake to handle large-scale data processing and analytics needs.
  • Optimize workflows using DBT to streamline data transformation and modeling processes.
  • Strong expertise in SQL with hands-on experience in querying, transforming, and analysing large datasets.
  • Solid understanding of data profiling, validation, and cleansing techniques.
  • Strong understanding of data modeling, ETL/ELT processes, and modern data architecture frameworks.
  • Expertise with cloud data platforms (Azure/AWS/GCP) for large-scale data processing.
  • Collaborate with cross-functional teams to identify and prioritize project requirements.
  • Develop and maintain large-scale data warehouses on Snowflake.
  • Optimize database performance and ensure data quality.
  • Troubleshoot and resolve technical issues related to data processing and analysis.
  • Participate in code reviews and contribute to improving overall code quality.

Job Requirements:

  • Strong understanding of data modeling and ETL concepts.
  • Experience with Snowflake and DBT is highly desirable.
  • Strong expertise in SQL with hands-on experience in querying, transforming, and analysing large datasets.
  • Expertise with cloud data platforms (Azure/AWS/GCP) for large-scale data processing.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.
  • Strong communication and interpersonal skills.
  • Familiarity with agile development methodologies.

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