Senior Data Engineer - Snowflake and DBT

ConnexR Solutions Pvt Ltd; Bengaluru; On-site; INR 2,400,000 - 2,600,000; Full time

Job summary

ConnexR Solutions Pvt Ltd in Bengaluru is seeking a Senior Data Engineer specialized in Snowflake and dbt to build scalable data pipelines. You will own design, development, and optimization of data pipelines using Snowflake, SQL, Python/PySpark, and dbt, collaborating with stakeholders to translate requirements into robust data solutions.

The ideal candidate has 6-8 years of experience in data engineering, enterprise data pipelines, and data warehouse development, plus strong CI/CD with Git

Qualifications

• 6-8 years of experience in data engineering and enterprise data pipelines.

Responsibilities

• Design, develop and deliver scalable ETL/ELT pipelines using SQL, Python, PySpark, and Snowflake.
• Engineer reliable data models (dimensional, normalized, analytical).
• 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.

Skills

Snowflake

Advanced SQL

Python and/or PySpark

dbt

ETL/ELT

Education

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

Tools

dbt tests

Great Expectations

Soda

Deequ

Git

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).