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Inferenz Tech
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Lead Data Engineer (Snowflake+dbt+Airflow)

Lead Data Engineer (Snowflake+dbt+Airflow)

Inferenz Tech

10 - 20 years

18 - 20 Lacs

pune ahmedabad

Posted:None| Platform:

Apply

Skills Required

computer science performance tuning automation data quality apache information technology analytics monitoring sql python

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are seeking a

Lead Data Engineer

with deep expertise in

Snowflake

dbt

, and

Apache Airflow

to design, implement, and optimize scalable data solutions. This role involves working on complex datasets, building robust data pipelines, ensuring data quality, and collaborating closely with analytics and business teams to deliver actionable insights.

If you are passionate about

data architecture, ELT best practices, and modern cloud data stack

, we d like to meet you.

Key Responsibilities:

Pipeline Design Orchestration:
Build and maintain robust, scalable data pipelines using
Apache Airflow
, including incremental full-load strategies, retries, and logging.
Data Modelling Transformation:
Develop modular, tested, and documented transformations in
dbt
, ensuring scalability and maintainability.
Snowflake Development:
Design and maintain
warehouse
in
Snowflake
, optimize Snowflake schemas, implement performance tuning (clustering keys, warehouse scaling, materialized views), manage access control, and utilize streams tasks for automation.
Data Quality Monitoring:
Implement validation frameworks (null checks, type checks, threshold alerts) and automated testing for data integrity and reliability.
Collaboration:
Partner with analysts, data scientists, and business stakeholders to translate requirements into scalable technical solutions.
Performance Optimization:
Develop incremental and full-load strategies with continuous monitoring, retries, and logging and tune query performance and job execution efficiency.
Infrastructure Automation:
Use Terraform or similar IaC tools to provision and manage Snowflake, Airflow, and related environments
Partner with data analysts, scientists, and business stakeholders to translate reporting and analytics requirements into technical specifications.

Required Skills Qualifications:

Bachelor s or Master s degree
in Computer Science, Information Technology, Data Engineering, or a related field.
7 10 years of experience in data engineering
, with strong hands-on expertise in:
- Snowflake (data modelling, performance tuning, access control, streams tasks, external tables)
- Apache Airflow
  (DAG design, task dependencies, dynamic tasks, error handling)
- dbt
  (modular SQL development, Jinja templating, testing, documentation)
Proficiency in
SQL
and
Python
(Spark experience is a plus).
Experience building and managing pipelines on
AWS
,
GCP
, or
Azure
.
Strong understanding of data warehousing concepts and ELT best practices.
Familiarity with
version control
(Git) and
CI/CD
Exposure to
infrastructure-as-code
tools like Terraform for provisioning Snowflake or Airflow environments.
Excellent problem-solving, collaboration, and communication skills, with the ability to lead technical projects.

Good To Have:

Experience with
streaming data pipelines
(Kafka, Kinesis, Pub/Sub).
Exposure to BI/analytics tools (Looker, Tableau, Power BI).
Knowledge of data governance and security best practices

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