Data Engineer

About the role

Growth Natives is hiring a mid-level Data Engineer to build and run modern ELT pipelines on Snowflake, using dbt for transformation and Apache Airflow for orchestration. You will also connect Salesforce data to the warehouse through Salesforce Data Cloud and MuleSoft Anypoint integrations. The work covers client data platforms end to end, from ingestion to analytics-ready models that feed Power BI and other reporting tools.

The role suits someone with 3 to 6 years of hands-on data engineering who can join a project and contribute from the first week with little ramp-up.

Role Details:
Title: Data Engineer
Level: Mid-level
Experience: 3 to 6 years
Location: Sector 67, Mohali
Employment type: Full-time
Start: Immediate joiners preferred
Core stack: dbt, Snowflake, Apache Airflow, Salesforce Data Cloud, MuleSoft Anypoint, SQL, Python

What you will do

- Build and maintain ELT pipelines on Snowflake, with dbt as the main transformation layer.
- Write modular, tested and documented dbt models in SQL that turn raw data into analytics-ready datasets.
- Build and maintain Airflow DAGs covering scheduling, task dependencies, retries, failure handling and monitoring.
- Set up and manage Salesforce Data Cloud data streams, data model mappings and identity resolution rules.
- Configure zero-copy data sharing between Salesforce Data Cloud and Snowflake so unified profiles and warehouse data stay in sync.
- Build, monitor and troubleshoot MuleSoft Anypoint integrations between Salesforce and other source systems, including scheduled syncs and API flows.
- Set up CI/CD for dbt projects so changes are version-controlled, validated automatically and deployed safely across environments.
- Use Python and SQL for automation, data validation and troubleshooting.




- Work with analytics teams to deliver datasets ready for BI dashboards and semantic models.

What you need

- 3 to 6 years of experience as a data engineer working on cloud data platforms.
- Robust dbt Core experience: modular models, tests, documentation and CI/CD integration.
- Hands-on Snowflake experience, including warehouse design for analytics.
- Production experience with Apache Airflow: DAG design, dependencies, scheduling and monitoring.
- Hands-on Salesforce Data Cloud (Data 360) experience: data streams, data model objects, identity resolution, and zero-copy integration with Snowflake.
- Hands-on MuleSoft Anypoint Platform experience: building and supporting APIs and integrations that move data between Salesforce and other systems.
- Strong SQL and working Python for data engineering and automation.
- Comfort with Git, CI/CD pipelines and automated deployment.
- A degree in Computer Science, IT, Engineering or a related field, or equivalent experience.

Nice to have

- Advanced Snowflake features: Snowpipe, streams and tasks, secure data sharing and cost/performance tuning.
- Apache Spark for transforming structured and semi-structured data.
- Docker and Terraform.
- AWS data services such as Glue and OpenSearch.
- Experience with BI tools like Power BI, Tableau or Metabase.

Pay: Up to ₹1,200,000.00 per year

Benefits:

- Health insurance
- Leave encashment
- Provident Fund

Ability to commute/relocate:

- Mohali, Punjab: Reliably commute or planning to relocate before starting work (Required)

Experience:

- Data Engineer: 3 years (Required)
- DBT: 3 years (Required)
- Snowflake: 3 years (Required)
- Python: 3 years (Required)
- SQL: 3 years (Required)
- MuleSoft: 3 years (Required)
- Salesforce Data Cloud: 3 years (Required)

Location:

- Mohali, Punjab (Required)

Work Location: In person

📌 Data Engineer (Sahibzada Ajit Singh Nagar)
🏢 Growth Natives
📍 Sahibzada Ajit Singh Nagar