Sr. Python/Data Integration Engineer

Responsibilities

• Work with high volume, heterogeneous data, preferably with distributed systems and are cloud agnostic.
• Build large-scale batch and real-time data pipelines leveraging the latest technologies, such as Microsoft Azure, Apache Kafka (Confluent), Databricks, Snowflake Data Cloud.
• Integrate data from multiple sources including on-premises, cloud (Salesforce and Azure) and external.
• Serve as a resource for data integration implementations on other technology teams and collaborate with data domain owners, business owners, and leaders.
• Drive adoption and automation of data integration services and tools.

Required Skills

• Senior knowledge of Python.
• Strong expertise in SQL, relational databases.
• Working knowledge of Docker.
• Proficient in Data Handling/Data Pipelines.
• Basic level knowledge on AWS.

Required Experience

• 5 years of experience driving adoption and using automation of data integration management services and tools.
• Experience with the API toolset: REST, HTTP, GraphQL, JSON, XML, Postman, etc.
• Some ETL experience.
• Experience in designing and building public and internal API’s.
• Experience with Git, Continuous Integration, and Continuous Delivery mechanisms.

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.