What are the responsibilities and job description for the Automotive Data Analytics position at Apexon?
Company-
Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.
Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence of 15 offices (and 10 delivery centers) across four continents.
Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.
Position Summary-
This role demands a candidate adept in crafting complex analytic solutions, utilizing Python and PySpark within an Agile framework. Essential to this position is a solid track record in managing intricate data transformations and a profound understanding of Big Data methodologies and tools. Role Overview : As a Data Analytics Software Engineer, you will be part of a compact, multidisciplinary team that operates in close collaboration. This role involves direct and ongoing engagement with business stakeholders, product managers, and designers, emphasizing rapid and frequent deployment.
Skills Required :
- Advanced Software Engineering Expertise : Profound knowledge and application of Object-Oriented Design principles are essential.
- Python / PySpark Development Proficiency : Demonstrated capability in developing Python / PySpark applications from conceptualization to deployment.
- Familiarity with Google Cloud Technologies : A solid understanding of Google Cloud solutions, including DataProc, BigQuery, Cloud Run, and Astronomer, is required.
- Big Data & Analytics Acumen : A robust grasp of Big Data and Analytics, including the ability to navigate and address the challenges unique to these fields.
- Continuous Learning : A strong inclination towards acquiring new skills and leveraging them to address business challenges and seize opportunities.
Skills Preferred :
Experience Required :
Overall 6 years of work experience in delivering customer facing products
Experience Preferred :
Education Required :
A Bachelor’s degree in Computer Science or similar technical discipline
Education Preferred :
Google Cloud Certification
