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Snowflake, Python

Snowflake, Python

Infosys Limited
Early Applicant
  • Posted 19 hours ago
  • Be among the first 10 applicants

Job Description

Job Description:

  • Join a high impact data engineering team where you ll lead the design and delivery of modern cloud data solutions using Snowflake and Python
  • In this role you ll shape scalable data pipelines enable trusted analytics and help teams turn raw data into meaningful business ready insights
  • You ll collaborate closely with data analysts data scientists and platform teams to build reliable well governed datasets and streamline transformation workflows
  • If you enjoy solving complex data challenges setting engineering standards and mentoring others while staying hands on with development this is a great opportunity to grow your technical leadership and influence
  • You ll work in a collaborative environment that values clean architecture automation and continuous improvement where your ideas can directly improve performance quality and speed of delivery

Key Responsibilities:

  • Key Responsibilities
  • Data Platform Solution Delivery
  • Lead the design and implementation of Snowflake based data warehouse lakehouse solutions aligned to business needs
  • Build and optimize ELT ETL pipelines using Python and dbt to deliver curated analytics ready datasets
  • Develop and maintain Snowflake objects schemas tables views stages and implement efficient data modeling patterns
  • Drive performance tuning across Snowflake warehouse sizing clustering query optimization and transformation layers
  • Engineering Excellence Reliability
  • Establish coding standards reusable frameworks and best practices for Python and dbt development
  • Implement data quality checks automated testing and monitoring to ensure reliable and accurate data delivery
  • Ensure secure data access patterns and support governance practices such as role based access and auditing
  • Leadership Collaboration
  • Mentor engineers conduct code reviews and guide the team on design decisions and implementation approaches
  • Partner with stakeholders to translate requirements into technical designs delivery plans and measurable outcomes
  • Support release planning incident triage and continuous improvements to reduce operational overhead
  • Minimum Qualifications
  • BTECH MTECH MCA MSC or equivalent in Computer Science Engineering or a related field
  • 6 8 years of overall experience in data engineering data platform development
  • 6 years of hands on experience with Snowflake including data modeling performance tuning and administration fundamentals
  • 6 years of hands on experience with Python for building data pipelines automation and integrations
  • Strong SQL skills and experience building reliable maintainable transformations and datasets
  • Proven experience delivering production grade data solutions with attention to scalability reliability and maintainability

Technical Requirements:

  • Technology Data on Cloud DataStore Snowflake
  • Technology Python

Additional Responsibilities:

  • Preferred Qualifications
  • Strong hands on experience with dbt models macros tests documentation and deployment practices
  • Experience designing modular transformation layers staging intermediate marts and implementing robust data quality frameworks
  • Familiarity with orchestration and scheduling patterns for pipelines and transformations
  • Experience with CI CD practices for data engineering version control workflows automated testing and release management
  • Demonstrated ability to lead technical discussions influence architecture decisions and mentor team members effectively

Preferred Skills:

Technology->Data on Cloud-DataStore->Snowflake,Technology->OpenSystem->Python - OpenSystem->Python

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