Specialist - Data Engineering

Vivantify Technology Solutions India Pvt. Ltd.; Hyderabad; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive salary

Professional growth opportunities

Collaborative work environment

Job summary

Vivantify Technology Solutions India Pvt. Ltd. in Hyderabad seeks a Specialist - Data Engineering with 5-7 years of hands-on experience in Snowflake, Python, DBT and Apache Airflow. You will develop end-to-end data transformation pipelines and reliable workflows for data processing and warehousing.

The role focuses on building and maintaining data pipelines, managing Snowflake-based warehouses, and orchestrating data workflows to ensure robust data processing systems.

Qualifications

• Experience with data warehousing concepts and data modeling.
• Hands-on experience building and maintaining data pipelines.
• Strong scripting and data transformation capabilities.

Responsibilities

• Develop and maintain end-to-end data pipelines.
• Build and manage data warehouse solutions using Snowflake.
• Create Python scripts for data engineering tasks and automation.
• Develop transformation pipelines using DBT.
• Design and manage workflow orchestration with Airflow.
• Ensure reliability of data processing workflows.

Skills

Data warehousing

Data transformation

End-to-end data pipeline development

Workflow orchestration

Tools

Snowflake

Python for Data Engineering

DBT

Apache Airflow

Job description

About The Role

We are looking for a Specialist - Data Engineering with strong hands-on experience in Snowflake, Python, DBT, and Apache Airflow. The role focuses on developing end-to-end data transformation pipelines and implementing reliable workflows for data processing and warehousing.

Location

Hyderabad

Experience

5-7 Years

Job Description

The position involves working across the data engineering lifecycle, including developing data pipelines, transforming datasets, and managing workflows. The candidate will use Snowflake for data warehousing, Python for data engineering and scripting, and DBT to build transformation pipelines. The role also requires hands-on experience with Apache Airflow for workflow orchestration and the ability to develop and manage end-to-end data transformation pipelines effectively.

Key Responsibilities

• Develop and maintain data pipelines for end-to-end data processing.
• Build and manage data warehouse solutions using Snowflake.
• Develop Python scripts and data engineering solutions using Python.
• Create and maintain data transformation pipelines using DBT.
• Design and manage workflow orchestration using Apache Airflow.
• Implement and support end-to-end data transformation processes.
• Maintain reliable and efficient data pipeline workflows.

Required Skills

• Snowflake
• Python for Data Engineering
• DBT
• Apache Airflow
• Data warehousing
• Data transformation
• End-to-end data pipeline development
• Workflow orchestration

Mandatory Skills

• Apache Airflow
• DBT
• Python for Data
• Snowflake

Candidate Profile

The ideal candidate will have 5-7 years of experience in data engineering with strong hands-on expertise in Snowflake, Python, DBT, and Apache Airflow. The candidate should have practical experience developing end-to-end data transformation and pipeline solutions.

Benefits Package

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• The opportunity to work on exciting and challenging projects with leading clients