Software Developer

Software Developer focuses on you like to develop seriously collaborative teams and guide passionate, cross-functional technologists to solve new problems.

What the role involves

• You like to develop seriously collaborative teams and guide passionate, cross-functional technologists to solve new problems.
• Us We drive valuable Digital Experiences for established enterprises, emerging startups and other companies through our Data Engineering, Analytics, and Application Development ser.
• Delivering improved business outcomes.Egen's Data Engineering team builds scalable data pipelines using Python, Java, or Scala and AWS.
• The pipelines we build typically integrate with technologies such as Kafka, Storm, and Elasticsearch.
• Our developers work in an agile process to efficiently deliver high value applications and product packages.

Skills and requirements

• 3-5 years minimum experience in a production level Data Engineering role building pipelines using Python.
• You know what it takes to build and run resilient data pipelines in production and have experience implementing ETL/ELT to load a multi-terabyte enterprise data warehouse.
• You value the importance of defining data contracts, and have experience writing specifications including REST APIs.
• Experience moving trained machine learning models into production data pipelines.

Confirmed role details

• You write code to transform data between data models and formats, preferably in Python or PySpark (bonus points).

Candidate fit

• Even more, you drive results and hold yourself and your teammates to extreme levels of software standards and professional quality while keeping up with new web application tools a.

Additional role context

• Our customized enterprise grade solutions enable our partners to achieve improved operational efficiency.
• Data Platform Engineer at Egen, you will architect and implement cloud-native data pipelines and infrastructure to enable analytics and machine learning on Egen's rich datasets.
• You have implemented analytics applications using multiple database technologies, such as relational, multidimensional (OLAP), key-value, document, or graph.