About the role
structured by ORIExperience: 5-8 years of experience. Job Description & Summary We are seeking experienced and passionate Snowflake Data Engineers to join our data engineering team.
What you will do
- Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.
- Design, develop, and optimize data pipelines and data models in Snowflake .
- Implement and maintain DBT workflows for data transformation and modeling.
- Write efficient and scalable SQL queries for data extraction and reporting.
- Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
What they are looking for
- Snowflake SnowPro Core certification
Full posting text
Experience: 5-8 years of experience.
Job Description & Summary
We are seeking experienced and passionate Snowflake Data Engineers to join our data engineering team. The ideal candidate will have strong expertise in Snowflake , SQL , Data Modelling , AWS - Glue, Lambda, Step Functions and Python , along with exposure to modern data orchestration and cloud platforms.
Responsibilities
You will work on:
Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS.
Design, develop, and optimize data pipelines and data models in Snowflake .
Implement and maintain DBT workflows for data transformation and modeling.
Write efficient and scalable SQL queries for data extraction and reporting.
Collaborate with data analysts, scientists, and business stakeholders to understand data requirements.
Integrate data from various sources using Python .
Orchestrate workflows using Apache Airflow or similar tools
Ensure data quality, integrity, and governance across the pipeline.
Work with CI/CD tools to automate deployment and testing of data workflows.
Optimize performance and cost of Snowflake workloads.
Leverage cloud services from AWS for scalable data solutions.
Primary Skills
Snowflake
SQL
Data Modelling
Python (Scripting, Data Manipulation)
AWS - Glue, Lambda, Step Functions
Secondary Skills
Apache Airflow (Workflow Orchestration)
CI/CD (Git, Jenkins, Azure DevOps, etc.)
DBT (Data Build Tool)
Mandatory Skill Sets
Snowflake SnowPro Core certification
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Key skills: cloud services, data analytics, administration, airflow, ai, amazon web services, cloud platforms, data anonymization, azure data factory, azure devops, analytics, cloud, apache, agile, aws, apache airflow, aws services, architecture, azure.
Role: Data Engineer
Industry Type: Management Consulting
Department: Engineering - Software & QA
Employment Type: Full Time, Permanent
Role Category: Software Development
Education: UG: B.Tech / B.E. in Any Specialization
Education: PG: Any Postgraduate
Stipend: Unpaid
Duration: No fixed duration
Start date: Starts in 1-3 months