Description

You will build and manage large-scale batch and real-time data pipelines handling high-volume, heterogeneous data across distributed, cloud-agnostic systems.

Responsibilities

• Build large-scale batch and real-time data pipelines using Azure, Kafka, Databricks, and Snowflake.
• Integrate data from on-premises, cloud (Salesforce and Azure), and external sources.
• Support other technology teams with data integration implementations.
• Collaborate with data domain owners, business owners, and leadership.
• Drive the adoption and automation of data integration services and tools.

Required Skills

• Senior-level Python proficiency.
• Strong expertise in SQL and relational databases.
• 5+ years of experience driving adoption and automation of data integration management services.
• Experience designing and building public and internal APIs using REST, HTTP, GraphQL, JSON, and XML.
• Proficiency in data handling and data pipelines.
• Experience with Git, CI/CD mechanisms, and Postman.
• Working knowledge of Docker.
• Basic knowledge of AWS.
• Practical ETL experience.
• Bachelor’s Degree in Computer Science, Computer Engineering, or a closely related field.

Key Skills

Education

Any Graduate