Data analytics developer

Data analytics developer

Samsung SDS

San Jose, CA

Full-time

Posted 15 days ago


Samsung SDS America rating

6.8

Company rating: 6.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

130th of 204 rated it services


Job description

Company Description

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success

At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.


Job Description

We are seeking a developer to join the data analytics team with at least 5 years of software development experience. The candidate must have experience with distributed systems and the Hadoop stack. The candidate is expected to be a self-learner as it relates to new big data analytics technologies.

Qualifications

Responsibilities:

Making low-level design decisions;

Developing source code according to specifications;

Unit-testing code;

Applying agile development practices;

Contribute to design discussions and decisions on application architecture and development, algorithm design, highly-available application services, and reliable APIs; Implementing continuous integration practice

Skills:

Must have extensive experience and excellent expertise in Java based server-side high-performance, highly-available applications development;

Practical design, development and deployment experience with evolving existing designs towards large scale service architecture;

Excellent object-oriented analysis and design skills and using proven architectural patterns;

Must have practical experience with distributed computing frameworks such Hadoop, Spark and Akka;

Experience with serialization frameworks such as Avro and Protocol Buffers;

Experience developing systems following the REST architectural style;

Knowledge of relation database concepts and SQL;

Practical experience with unit testing (e.g., JUnit) and mocking (e.g., Mockito) frameworks;

Practical experience with build frameworks such as Maven and sbt;

Practical experience with the Scala programming language (desirable);

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Additional Information

Tanya Danylevska

HR - talent acqusition

Samsung SDSA

[email protected]


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Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Analytics Developer?

A: To succeed as a Data Analytics Developer, key technical skills include proficiency in programming languages such as Python, R, or SQL, as well as expertise in data visualization tools like Tableau or Power BI, and familiarity with machine learning libraries like scikit-learn or TensorFlow. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Analytics Developers often work with cross-functional teams to identify business needs and develop data-driven solutions. By combining technical expertise with strong soft skills, Data Analytics Developers can effectively drive business growth, improve decision-making, and advance their careers in the field.

Q: What is the career path for a Data Analytics Developer?

A: A Data Analytics Developer's career path typically begins as a Junior Data Analyst or Data Analyst, where they develop foundational skills in data visualization, statistical modeling, and programming languages such as Python or R. As they gain experience, they progress to mid-level roles like Senior Data Analyst or Data Engineer, where they focus on designing and implementing large-scale data systems, and develop expertise in machine learning, data warehousing, and cloud computing. Ultimately, senior roles like Lead Data Scientist or Director of Data Analytics offer opportunities for leadership, strategic decision-making, and driving business outcomes through data-driven insights.



Samsung SDS job posting for a Data analytics developer in San Jose, CA with a salary of $54 to $76 Hourly with a map of San Jose location.