Data Engineer

Networth Corp; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Networth Corp is seeking a Data Engineer in Bengaluru to design, build, and optimize data pipelines using Snowflake and SQL. You will modernize orchestration, manage tasks and streams, and tackle complex transformation logic across multi-cloud environments.

The ideal candidate has 3–6 years of data engineering experience, strong SQL/Snowflake skills, and a solid background in ETL/ELT. The role emphasizes adaptability and robust data documentation.

Qualifications

• 3-6 years of data engineering experience.
• Bachelor's in CS, Engineering, Information Systems, or equivalent.
• Snowflake and SQL expertise required.
• Experience building and maintaining ETL/ELT pipelines.

Responsibilities

• Design, build, and optimize data pipelines on Snowflake and other platforms.
• Modernize orchestration and manage tasks, graphs, and streams.
• Write and refactor complex SQL transformations.
• Interpret and re-engineer existing pipelines, including undocumented ones.
• Maintain source-to-target mappings, diagrams, and runbooks.
• Ensure data quality, parity, and performance across pipelines.
• Adapt to varied cloud environments and client stacks.

Skills

SQL

Snowflake

Data modeling

ETL/ELT

Python

Cloud data platforms

Version control

Adaptability

Reverse engineering

Documentation

Education

Bachelor's in CS/Engineering or equivalent

Tools

Azure Data Factory

Informatica IICS

dbt

Airflow

ADF pipelines

Kafka

Snowpipe

BigQuery

Redshift

Databricks

Job description

We're hiring a Data Engineer with deep Snowflake and SQL expertise to join our data team. You'll build and optimize data pipelines, modernize orchestration, and bring order to complex data environments. Our current stack centers on Snowflake and Azure, but you'll work across a range of platforms and tools as projects demand - so we're looking for someone adaptable, who picks up unfamiliar systems fast and isn't tied to a single ecosystem.

What You'll Do

We're hiring a Data Engineer with deep Snowflake and SQL expertise to join our data team. You'll build and optimize data pipelines, modernize orchestration, and bring order to complex data environments. Our current stack centers on Snowflake and Azure, but you'll work across a range of platforms and tools as projects demand - so we're looking for someone adaptable, who picks up unfamiliar systems fast and isn't tied to a single ecosystem.

• Design, build, and optimize data pipelines on Snowflake and other platforms as needed
• Modernize and manage orchestration (Snowflake Tasks, Task Graphs, Streams, and other tools)
• Write and refactor complex transformation logic in SQL
• Interpret and re-engineer existing pipelines, including undocumented ones
• Maintain high-quality technical documentation: source-to-target mappings, dependency diagrams, runbooks
• Ensure data quality, parity, and performance across pipelines
• Adapt to varied cloud environments, tooling, and client stacks

Must-Have Skills

• SQL - advanced: complex joins, window functions, CTEs, query optimization
• Snowflake - hands-on with warehouses, roles, data modeling, and native orchestration (Tasks, Task Graphs, Streams)
• Data modeling - dimensional modeling, star/snowflake schemas, SCDs
• ETL/ELT - building and maintaining ingestion and transformation pipelines
• Python - for scripting, data processing, and pipeline automation
• Cloud data platforms - hands-on with at least one major cloud (Azure preferred; AWS/GCP valued)
• Version control - Git-based workflows
• Adaptability - proven ability to learn new tools, platforms, and undocumented systems quickly
• Reverse engineering - track record untangling undocumented or poorly documented ETL pipelines
• Documentation - source-to-target mappings, dependency diagrams, runbooks

Strongly Preferred

• Azure data stack - ADLS Gen2, Azure Data Factory
• Informatica IICS (or comparable Informatica)
• dbt - transformation tooling and testing
• Orchestration tools - Airflow, ADF pipelines
• CI/CD for data - automated pipeline deployment
• Streaming - Kafka, Snowpipe, or equivalent
• Other warehouses - BigQuery, Redshift, Databricks

Qualifications

• Experience: 3-6 years in data engineering (adjust to your level: 3+ for mid, 6+ for senior)
• Education: Bachelor's in Computer Science, Engineering, Information Systems, or equivalent practical experience
• Certifications (a plus): SnowPro Core/Advanced, Azure Data Engineer Associate (DP-203)