Senior Data Engineer - Snowflake and DBT

Senior Data Engineer (Snowflake + dbt) Job Title: Senior Data Engineer – Snowflake and dbt Skill Category: Data Engineering Experience Range: 6–8 years Work Location: Bangalore (Hybrid) Budget: INR 25 LPA Duration: Full‑Time Employment Interview Mode: L1 – Virtual, L2 – Face to Face Shift: General 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).