Description

You will design, implement, and manage data pipelines and long-term data platform architecture.

This role is on-site.

Responsibilities

• Lead technical planning, requirements gathering, estimation, and project delivery.
• Design data integrations and data quality frameworks to ensure production data accuracy and availability.
• Perform data analysis to troubleshoot and resolve data-related issues.
• Collaborate with frontend and backend engineers, product managers, and analysts to build scalable systems.
• Mentor team members and provide technical leadership for service improvement.

Required Skills

• 6-10 years of experience designing and implementing data pipelines.
• Strong expertise in Snowflake, including data modeling, ETL, and data warehousing.
• Proficiency in DBT (Data Build Tool) for data transformation and management.
• Advanced SQL skills and deep understanding of database systems.
• Experience with data integration, data processing, and data quality frameworks.
• Experience with object storage, data lakes, and lakehouses.
• Proficiency with version control tools such as Git.
• BS in Computer Science, Engineering, or a related technical field.

Preferred Skills

• Familiarity with Azure Data Services (Data Factory, Storage, Synapse), Databricks, Apache Spark, or Kafka.
• Client-facing or consulting experience.
• Cloud platform certifications.

Key Skills

Education

Any Graduate