Data Engineer

#DataEngineer #PythonDeveloper #Snowflake #DataWarehousing #ETL #HiringNow #TechJobs #SQL

Job Title: Data Engineer

Experience:

Work Mode:

Locations:

Data Engineer

Key Skills (Mandatory):

• Python (Must) with OOPs concepts
• Snowflake (Must)
• SQL & Database Development
• Data Warehousing & ETL Concepts
• Performance Tuning & Query Optimization
• Knowledge of ETL Tools
• Strong Problem-Solving Ability
• Excellent Communication & Team Collaboration

Key Responsibilities:

• Develop, maintain, and optimize scalable

  data pipelines

  and

  ETL workflows

  .
• Work extensively with

  Snowflake

  to build data models, schemas, and warehouse solutions.
• Implement

  data warehousing concepts

  , including data mining, schema design, and transformations.
• Write efficient

  Python

  scripts following OOPs principles for automation and data processing.
• Conduct

  performance tuning

  and

  query optimization

  across databases.
• Work closely with cross-functional teams to understand data requirements and deliver robust solutions.
• Ensure high data quality and integrity across all pipelines and systems.
• Troubleshoot and resolve data-related issues promptly.

Key Requirements:

• Minimum

  7 years

  of professional experience as a

  Data Engineer

  .
• Strong hands-on experience in

  Snowflake

  , including warehouse configuration, schema design, and performance tuning.
• Expertise in

  SQL

  , data modeling, and database concepts.
• Solid understanding of

  ETL tools

  and workflow orchestration frameworks.
• Ability to manage large datasets with a high level of accuracy and attention to detail.
• Experience in optimizing pipelines and enhancing data reliability and efficiency.
• Strong communication skills with the ability to work effectively in a team environment.