Opening For Data Engineer with DBT (Data Build Tool), Snowflake

Tekskills Inc.

Delhi

Sur place

INR 1 500 000 - 2 100 000

Plein temps

Il y a 9 jours

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Résumé du poste

Tekskills Inc. is seeking a data engineer to design scalable data models and end-to-end transformation pipelines using DBT on Snowflake. The role requires strong PL/SQL expertise and the ability to collaborate with analysts, data scientists, and stakeholders to deliver reliable data solutions.

You will optimize Snowflake performance, ensure data quality and governance, and contribute to CI/CD improvements for DBT projects. A 5+ year track record in data engineering is expected.

Qualifications

  • 5+ years of experience in data engineering or related field.
  • Strong hands-on experience with DBT (modular SQL development, testing, documentation).
  • Proficiency in Snowflake (data warehousing, performance tuning, security).
  • Advanced knowledge of PL/SQL with stored procedures, functions, and packages.
  • Solid understanding of data modeling concepts (star/snowflake schemas, normalization).
  • Experience with version control systems (Git) and CI/CD practices.
  • Familiarity with orchestration tools (Airflow, dbt Cloud, Prefect) is a plus.

Responsabilités

  • Design and implement scalable data models and transformation pipelines using DBT on Snowflake.
  • Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Optimize Snowflake performance through query tuning, clustering, and resource management.
  • Ensure data quality, integrity, and governance through testing, documentation, and monitoring.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.
  • Maintain and enhance CI/CD pipelines for DBT projects.

Connaissances

Data engineering
Data modeling
Code reviews
CI/CD practices

Outils

DBT
Snowflake
Git
Airflow
dbt Cloud
Prefect

Description du poste

Key Responsibilities:
  • Design and implement scalable data models and transformation pipelines using DBT on Snowflake.
  • Write efficient and maintainable PL/SQL code for complex data processing and transformation tasks.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Optimize Snowflake performance through query tuning, clustering, and resource management.
  • Ensure data quality, integrity, and governance through testing, documentation, and monitoring.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.
  • Maintain and enhance CI/CD pipelines for DBT projects.
Required Qualifications:
  • 5+ years of experience in data engineering or a related field.
  • Strong hands-on experience with DBT (modular SQL development, testing, documentation).
  • Proficiency in Snowflake (data warehousing, performance tuning, security).
  • Advanced knowledge of PL/SQL and experience with stored procedures, functions, and packages.
  • Solid understanding of data modeling concepts (star/snowflake schemas, normalization).
  • Experience with version control systems (e.g., Git) and CI/CD practices.
  • Familiarity with orchestration tools (e.g., Airflow, dbt Cloud, Prefect) is a plus.
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