Senior Data Engineer - Snowflake and DBT

Senior Data Engineer (Snowflake + dbt)

Job Title: Senior Data Engineer – Snowflake and dbt

Mandatory Skills

• Snowflake
  

• Advanced SQL
  

• Python and/or PySpark
  

• dbt
  

• ETL/ELT
  

Screening Parameters (must be met)

• Years of Experience (6–8 years)
  

• Snowflake expertise
  

• Advanced SQL proficiency
  

• Python and/or PySpark hands‑on experience
  

• dbt implementation
  

• ETL/ELT pipeline design
  

• Data pipeline development
  

• CI/CD using Git‑based workflows
  

• Data quality, validation & reconciliation
  

• Data modeling
  

• Data warehouse development
  

Job Description (Key Highlights)

• Design and deliver scalable ETL/ELT pipelines using SQL, Python, PySpark, and Snowflake.
  

• Engineer reliable data models (dimensional, normalized, analytical).
  

• Implement automated data quality checks, reconciliation, and validation.
  

• Build CI/CD pipelines for data engineering workloads using Git workflows.
  

• Monitor pipeline health, lineage, cost, and performance; troubleshoot incidents.
  

• Ingest and standardize diverse data sources (databases, APIs, event streams).
  

• Modernize legacy ETL workflows (e.g., Informatica PowerCenter → dbt).
  

• Collaborate with stakeholders to translate requirements into technical solutions.
  

• Provide technical leadership, mentoring, and delivery coordination.
  

Qualifications

• Bachelor’s/Master’s in Computer Science, Engineering, Mathematics, or related discipline.
  

• Strong professional experience in enterprise data pipelines & warehouses.
  

• Snowflake SnowPro Core certification preferred.
  

• Familiarity with data observability frameworks (dbt tests, Great Expectations, Soda, Deequ).
  

• Experience in regulated/security‑sensitive domains (healthcare, telecom, audit).