Snowflake Data Engineer

Job Summary:

Snowflake Data Engineer

Key Responsibilities:

• Understand business requirements and data models to convert raw data into meaningful insights using

  Snowflake

  and

  Python

  .
• Design, develop, and implement

  conceptual, logical, and physical data models

  to ensure data accuracy, consistency, and integrity.
• Develop and maintain scalable and high-performance

  ETL/ELT pipelines

  using Snowflake and Python/PySpark.
• Design and implement

  data integration solutions

  , ensuring seamless data flow across systems and high data quality.
• Create and manage

  optimal data pipeline architecture

  , supporting both batch and real-time data processing.
• Leverage advanced

  Snowflake features

  such as Snowpipe, Time Travel, and Data Sharing for efficient data handling.
• Work with

  cloud platforms

  (AWS, Azure, or GCP) to manage data infrastructure and support deployment.
• Collaborate with business and technical stakeholders to support

  client presentations, proposals, and technical documentation

  .
• Ensure project delivery within timelines and quality parameters in a

  client-facing, fast-paced environment

  .

Required Skills & Qualifications:

• Minimum

  5 years of experience

  in Data Engineering with solid expertise in

  Snowflake

  and

  Python/PySpark

  .
• Strong experience in

  data modeling

  and

  data warehousing

  concepts.
• Expertise in

  ETL/ELT development

  ,

  data ingestion methods

  , and integration tools.
• Proven experience with

  Snowflake advanced features

  (e.g., Snowpipe, Time Travel, Data Sharing).
• Experience working with

  cloud platforms

  like AWS, Azure, or GCP.
• Excellent problem-solving, analytical, and

  communication skills

  .
• Demonstrated ability to

  work independently and within a team

  in a dynamic environment.
• Strong

  leadership and interpersonal skills

  with a proactive and collaborative mindset.