Join a dynamic team as a Data Engineer specializing in Snowflake to design and optimize enterprise data solutions.

About the Company

The organization is a leading player in the data and analytics domain, specializing in providing cutting-edge solutions to elevate enterprise performance. Their focus on leveraging cloud-based technologies aids enterprises in optimizing their data operations and achieving strategic goals efficiently.

Role Overview

As a Data Engineer with a specialization in Snowflake, you will play a pivotal role in designing and managing robust data solutions that enhance enterprise data warehousing, reporting, and analytics capabilities. This position emphasizes the importance of crafting high-quality data pipelines, ensuring secure data handling, and optimizing performance across cloud data environments.

Key Responsibilities

• Snowflake Data Engineering & Development: You are responsible for the development and maintenance of scalable data pipelines, SQL scripts, and Snowflake objects such as schemas, stages, tasks, streams, and warehouses.
• Data Modeling & Architecture: Implementing dimensional models like star and snowflake schemas, optimal warehouse structures, along with building efficient data ingestion frameworks.
• Performance Optimization & Data Quality: Regular tuning of SQL queries, cost optimization of Snowflake resources, managing clustering and caching, and ensuring data accuracy.
• ETL/ELT Development & Integration: Build and manage ETL/ELT workflows using either Snowflake-native features or other tools like ADF, DBT, Airflow, and Informatica.
• Governance, Security & Collaboration: You will oversee role-based access management, data sharing, and auditing while collaborating closely with BI, analytics, and cloud teams to deliver high-quality data solutions.

Tech Stack

• Snowflake Cloud Data Platform
• SQL
• Azure and/or AWS
• ETL/ELT tools (e.g. ADF, DBT, Airflow, Informatica)
• BI Tools (e.g. Power BI, Tableau, Looker)
• Version control systems (e.g. Git, Azure DevOps)
• Scripting Languages (e.g. Python, Shell)

Requirements

Essential Skills:

• Strong SQL development skills and experience in building complex queries
• Hands-on experience with Snowflake Cloud Data Platform
• Experience with data pipelines, ETL/ELT tools, and cloud integrations (Azure/AWS)
• Understanding of Snowflake components (Warehouses, Streams, Tasks, Stages, Time Travel, Data Sharing)
• Knowledge of data modeling (star, snowflake, fact/dimension structures)
• Experience in performance tuning and cost optimization in Snowflake
• Familiarity with version control systems (Git / Azure DevOps)

Desirable Skills:

• Experience with scripting (Python, Shell)
• Exposure to DBT or similar transformation frameworks
• Understanding of CI/CD for data pipelines
• Knowledge of cloud services (Azure Data Factory, AWS Glue, GCP Dataflow)
• Experience working with BI tools (Power BI, Tableau, Looker)

Qualifications:

• Minimum 5 years of experience in data engineering, data warehousing, or Snowflake development
• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or equivalent.

Qualities:

• Strong analytical and problem-solving mindset
• Detail-oriented with focus on data accuracy and reliability
• Proactive, eager to learn, and able to work independently
• Good communication and collaboration skills
• Ability to work in agile, fast-paced environments.

Benefits

• Competitive salary package
• Flexible working hours
• Remote work options
• Opportunity for professional development and training
• Health insurance and wellness programs
• Friendly and dynamic work environment