Data Warehousing Expert

2 days ago

Anantapur, Andhra Pradesh, India beBeeSnowflakeDeveloper Full time ₹ 12,00,000 - ₹ 25,00,000
Job Title:

Snowflake Developer

Job Description:

We are seeking a skilled Snowflake Developer to join our team. The ideal candidate will have extensive experience in designing, implementing, and optimizing data warehouses on the Snowflake platform.

The successful candidate will be responsible for ensuring effective utilization of Snowflake features for scalable and high-performance data storage. They will also develop, implement, and optimize end-to-end data pipelines on Snowflake.

A strong emphasis is placed on leveraging PySpark for advanced data transformations within the Snowflake environment. The candidate will implement data cleansing, enrichment, and validation processes using PySpark.

Additionally, the candidate should have proven experience as a Data Engineer, with proficiency in Snowflake features and capabilities for data warehousing.

Expertise in PySpark for data processing and analytics is a must. Experience with data modeling, ETL processes, and efficient data storage is highly desirable.

Proficiency in programming languages such as Python, SQL, or Scala for data processing is required.

Required Skills and Qualifications:

  • Design, implement, and optimize data warehouses on the Snowflake platform.
  • Develop, implement, and optimize end-to-end data pipelines on Snowflake.
  • Leverage PySpark for advanced data transformations within the Snowflake environment.
  • Implement data cleansing, enrichment, and validation processes using PySpark.
  • Experience with data modeling, ETL processes, and efficient data storage.
  • Proficiency in programming languages such as Python, SQL, or Scala for data processing.

Benefits:

Competitive salary and benefits package.

Opportunity to work with a talented team of professionals.

Professional development and growth opportunities.

Flexible work arrangements.

Others:

Join a dynamic and innovative company that values diversity and inclusion.

Contribute to the design and implementation of cutting-edge data solutions.

Collaborate with cross-functional teams to drive business outcomes.

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