Data Engineer

7 days ago

Pune, Maharashtra, India Systems Plus Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Location: Pune

Employment Type: full-time

Job Details

Job Summary:

We are seeking a highly skilled Data Engineer with hands-on experience in Snowflake and dbt (Data Build Tool) to join our data engineering team. The ideal candidate will be maintaining existing data models and will assist in developing scalable data pipelines, performing data transformations, and ensuring data quality using modern data stack technologies.

Key Responsibilities:

  • Design, develop, and optimize data pipelines using dbt and Snowflake.
  • Build efficient, reliable, and scalable data transformation models with dbt Core or dbt Cloud.
  • Work closely with Data Analysts and Analytics Engineers, and Business teams to understand data requirements.
  • Ensure data quality and perform rigorous data testing and validation using dbt tests.
  • Maintain and enhance the data warehouse architecture to support business intelligence and reporting needs.
  • Monitor data pipeline performance and troubleshoot issues proactively.
  • Apply version control practices (Git) and CI/CD for data workflows.
  • Experience in scripting with Python is a plus.
  • Experience with handling data ingestion at scale, transformation, and processing tasks, ensuring data quality, reliability, and scalability across platforms.

Required Skills & Qualifications:

  • 3+ years of experience in Data Engineering.
  • Hands-on experience with Snowflake – including experience writing advanced SQL, building data marts for BI use, leveraging snowflake tasks, procedures, stages, pipes, etc.
  • Hands on experience in dbt (Core or Cloud) for data transformations and testing.
  • Proficient in SQL (complex queries, CTEs, window functions, optimization).
  • Experience with ETL/ELT design patterns and tools like Apache Nifi, Airflow, and Fivetran is a bonus.
  • Experience with AWS Cloud Platforms is a must OR experience with other cloud service providers like Azure, or GCP is a plus.
  • Familiarity with Git/GitHub and version-controlled deployment pipelines.
  • Excellent communication skills and ability to work in cross-functional teams.
  • Demonstrated ability to thrive in fast-paced environments. The resource should have a strong aptitude to be comfortable diving deep into datasets, identifying patterns, and uncovering data quality issues in environments where data sanity is low.

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