Software Engineer

OVERVIEW

The Data Software Engineer will run, build and work on ETL solutions using SQL Server, .NET and Databricks engineering tasks.  

As a Software Engineer, you are expected to work with architects to design clean decoupled solutions; create automated tests in support of continuous delivery; adopt a culture of continuous improvement and delivery; and adhere to our standards. 

As an Engineer you are expected to adhere to development standards, work with architects to design clean decoupled solutions; create automated tests in support of continuous delivery; adopt a culture of continuous improvement and delivery and engage in peer review of code across the team. You will work closely with Business Analysts and Software QA Engineers and Data Scientists to deliver high quality software. You are encouraged to be actively involved in the DevOps processes and take responsibility for the code and infrastructure you deploy.  

The successful candidate should have a keen desire to keep on top of the ever-updating tech curve, and a drive to continuously hone their craft. 

The successful candidate should have experience working on big data solutions, with an understanding of developing complex enterprise data ETL pipelines and projections and a strong background in SQL, C#/.NET, and ETL implementations. Additionally, experience with Python, PySpark, and Databricks is a plus. 

PRINCIPAL RESPONSIBILITIES 

• Design, develop, and maintain data pipelines and ETL processes.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Optimize and troubleshoot SQL queries and C#/.NET applications.
• Implement data integration solutions using various ETL tools.
• Adhere to development standards defined by your team leader to ensure you write high quality software.
• Continue to strengthen your skills by completing personal development objectives and keeping up to date with emerging technologies and techniques.
• Work with big data technologies such as PySpark and Databricks.
• Delivering data to support new products and features as defined in the product roadmap.
• Work within and contribute to the agile practises of your team, taking an active part in estimation and planning sessions and sprint retrospectives.
• Ensuring the coding standards set are met by all teams contributing to data platform code bases including CI/CD and test code coverage.
• Contribute to the Altrata culture that makes Altrata a great place to work and attractive to the best talent.

KEY INTERFACES

• QA, Business Analysts & Product Owners
• Platform & Front end engineering teams
• Architects
• CloudOps

KNOWLEDGE, EXPERIENCE AND SKILLS

• Computer science / scientific degree or equivalent professional experience.
• Proven experience as a Data Software Engineer or similar role.
• Strong proficiency in SQL and C#/.NET.
• OO and functional programming experience, design patterns, SOLID principles.
• Hands-on experience with ETL implementations.
• Knowledge of Python, PySpark, and Databricks is a plus.
• Experience with scrum, TDD, BDD, Pairing, Pull Requests, Continuous Integration & Delivery.
• Continuous Integration tools – Github, Azure DevOps, Jenkins or similar.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and as part of a team.

PREFERRED QUALIFICATIONS

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with data warehousing concepts.
• Infrastructure as code with AWS CDK.
• Strong communication and interpersonal skills.

Altrata is actively committed to promoting, fostering, and nurturing a diverse and inclusive environment, and all applicants will receive equal consideration regardless of race, sex, religion, color, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We recognize that these types of statements appear often in job descriptions. At Altrata, we really and truly mean it.