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

(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.

- Robust 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).

📌 Senior Data Engineer - Snowflake and DBT (Bengaluru)
🏢 Connexr Solutions
📍 Bengaluru