LHH · 6 days ago

Software Engineer

Dearborn, MI

Full-time

Hybrid

Mid, Senior Level

$60/hr - $65/hr

5+ years exp

Wonder how qualified you are to the job?

Maximize your interview chances

AdviceConsulting

Actively Hiring

Insider Connection @LHH

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Craft complex analytic solutions using Python and PySpark within an Agile framework.

Manage intricate data transformations and utilize Big Data methodologies and tools.

Collaborate with stakeholders and engage in pair-programming.

Architect solutions from design to delivery.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonPySparkHadoopSQLData TransformationObject-Oriented DesignArchitecting SolutionsProblem-SolvingCollaborativeInnovativeGoogle Cloud TechnologiesAWSAzureBigQueryDataProc

Required

Overall 5+ years of work experience in delivering customer facing products in a highly collaborative, enterprise environment.

Python/PySpark Development Proficiency: Demonstrated capability in developing Python/PySpark applications from conceptualization to deployment.

Experience with Hadoop environments.

Very strong SQL skill set.

Desire to thrive in a dynamic, collaborative environment and is passionate about driving innovation in data analytics to improve product quality and performance.

Ability to apply extensive technical expertise to develop effective data transformation solutions, advocating a collaborative problem-solving approach.

Profound knowledge and application of Object-Oriented Design principles are essential.

Demonstrated ability to architect a solution from design to delivery.

An Bachelor’s degree in Computer Science or similar technical discipline

Preferred

Familiarity with Google Cloud Technologies is preferred, however we will consider candidates with good experience with AWS and/or Azure, and their analogues to GCP tools like BigQuery, DataProc, etc.