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8 - 10 years

25 - 30 Lacs

Posted:2 hours ago| Platform: Naukri logo

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Full Time

Job Description

Job description
Key Responsibilities:
  • Design and implement scalable data pipelines using ETL/ELT frameworks.
  • Develop and maintain data models and data warehouse architecture using Snowflake.
  • Build and manage DBT (Data Build Tool) models for data transformation and lineage tracking.
  • Write efficient and reusable Python scripts for data ingestion, transformation, and automation.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, and governance across all data platforms.
  • Monitor and optimize performance of data pipelines and queries.
  • Implement best practices for data engineering, including version control, testing, and CI/CD.
Required Skills and Qualifications:
  • 8+ years of experience in data engineering or a related field.
  • Strong expertise in Snowflake including schema design, performance tuning, and security.
  • Proficiency in Python for data manipulation and automation.
  • Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.).
  • Experience with DBT for data transformation and documentation.
  • Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Prefect).
  • Strong SQL skills and experience with large-scale data sets.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.
Python, Elt, Data Services, Aws, Orchestration Framework, Data Build Tool, Data Engineering, Azure, Data Modeling, Sql, Snowflake

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Rarr Technologies
Rarr Technologies

Information Technology

San Francisco

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