Senior Data Engineer - Snowflake and DBT

Connexr; Bengaluru; On-site; INR 1,250,000 - 2,875,000; Full time

Job summary

Connexr is hiring a Senior Data Engineer to design and deliver scalable ETL/ELT pipelines using SQL, Python, PySpark, and Snowflake in a Bengaluru-based environment.

You will engineer reliable data models, implement automated data quality checks, monitor lineage, cost, and performance, and collaborate with stakeholders to translate requirements into robust data solutions. The role demands 6–8 years of enterprise data experience and leadership in delivery.

Qualifications

• 6–8 years of experience in data engineering or similar roles.

Responsibilities

• 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.
• Monitor pipeline health, lineage, cost, and performance; troubleshoot incidents.
• Ingest and standardize diverse data sources (databases, APIs, event streams).
• Collaborate with stakeholders to translate requirements into technical solutions.
• Provide technical leadership, mentoring, and delivery coordination.

Skills

Snowflake expertise

Advanced SQL

Python and/or PySpark hands-on

ETL/ELT

CI/CD using Git-based workflows

Data modeling

Data warehouse development

Education

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

SnowPro Core certification preferred

Familiarity with data observability frameworks

Tools

Snowflake

dbt

Python

PySpark

SQL

Job description

Senior Data Engineer - Snowflake and DBT

Job Title: Senior Data Engineer – Snowflake and dbt

Skill Category: Data Engineering

Experience Range: 6–8 years

Budget: INR 25 LPA

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

CI/CD using Git‑based workflows

Data modeling

Data warehouse development

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.

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

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

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).