Snowflake & Pyspark Lead Data engineer

6 - 10 years

0 Lacs

Posted:6 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Role Description

Job Overview:

UST is seeking a skilled

Snowflake Engineer

with 6 to 10 years of experience to join our team. The ideal candidate will play a key role in the development, implementation, and optimization of

data solutions

on the

Snowflake

cloud platform. The candidate should have strong expertise in

Snowflake

, and a solid understanding of

ETL

processes, along with proficiency in

data engineering

and data processing technologies.This role is essential for designing and maintaining

high-performance data pipelines

and

data warehouses

, focusing on scalability and efficient data storage.

Key Responsibilities

  • Snowflake Data Warehouse Development:
    • Design, implement, and optimize data warehouses on the Snowflake cloud platform.
    • Ensure the effective utilization of Snowflake’s features for scalable, efficient, and high-performance data storage and processing.
  • Data Pipeline Development:
    • Develop, implement, and optimize end-to-end data pipelines on the Snowflake platform.
    • Design and maintain ETL workflows to enable seamless data processing across systems.
  • Data Transformation with PySpark:
    • Leverage PySpark for data transformations within the Snowflake environment.
    • Implement complex data cleansing, enrichment, and validation processes using PySpark to ensure the highest data quality.
  • Collaboration:
    • Work closely with cross-functional teams to design data solutions aligned with business requirements.
    • Engage with stakeholders to understand business needs and translate them into technical solutions.
  • Optimization:
    • Continuously monitor and optimize data storage, processing, and retrieval performance in Snowflake.
    • Leverage Snowflake’s capabilities for scalable data storage and data processing to ensure efficient performance.

Required Qualifications

Technical Skills

  • Experience:
    • 5 to 7 years of experience as a Data Engineer, with a strong emphasis on Snowflake.
    • Proven experience in designing, implementing, and optimizing data warehouses on the Snowflake platform.
    • Snowflake: Strong knowledge of Snowflake architecture, features, and best practices for data storage and performance optimization.
    • ETL: Experience with ETL processes to extract, transform, and load data into Snowflake.
    • Programming Languages: Proficiency in Python, SQL, or Scala for data processing and transformations.

  • Data Modeling:
  • Experience with data modeling techniques and designing efficient data schemas for optimal performance in Snowflake.

Skills

Snowflake,Pyspark,Sql,Etl

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Aliso Viejo CA

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