Entry Level Programmer/Coder/Developer/Data Scientist/Analyst/Engineer
SynergisticITChandler, AZ • On-site
Other
Posted 3 days ago
Job description
Our seasoned team firmly believes that the new tech talent can scale any business if given the right opportunity. We value your integrity, hard work, and commitment to make a difference in the technical sphere. For this reason, we focus on providing end-to-end career assistance and enhancing your already existing IT skills and knowledge.
Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science principles to design, test, implement, and develop data-based solutions, including reporting, auditing, and preparing large databases for statistical analysis.
Minimum Background and Qualifications Requirement
- Bachelor's degree or Master's degree in Computer Engineering, Computer Science, Mathematics, Electrical Engineering, Information Systems, or IT
- Must have Mathematics or Statistics background
Technical and Soft Skills Required
- Experience in Python programming and understanding of the software development life cycle.
- Knowledge of Linear Algebra, Statistics, and Mathematics concepts.
- Excellent written and verbal communication skills.
- Highly motivated, self-learner, team player, and technically inquisitive.
- Strong work ethics and creative problem-solving abilities.
- Deep Learning
- Data visualization
- NLP
- Scala
- Django
- Collaborate with dynamic teams of engineers, developers, and scientists who research and integrate algorithms to develop an application, software, and computer system solutions to address complex data problems.
- Assess project requirements and develop data analysis algorithms.
- Engage developers to share their opinions, knowledge, and recommendations to meet the deliverables.
- Contribute to technical solutions and implement software analyses to unlock the secrets held by big data sets.
- Integrate components like web-based UI, commercial indexing products, and access control mechanisms to create operational information and knowledge discovery systems.
Benefits
- Competitive salary
- Flexible work schedule & part-time off
- E-verified
- No relocation
- H1B filing
- On job technical support
- Skill Enhancement
- Opportunity to work with Fortune 500 Companies
Who Should Apply?
Recent IT graduates looking to build a solid career in the tech industry. If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data Science, this job opportunity can be the right career path for you.
Candidate's Outcome : Best Programmers in USA | Best Coding Bootcamp - SynergisticIT
No third-party candidates or c2c candidates
If you are interested, please apply to the posting.
No phone calls please, Shortlisted candidates would be reached out.
Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Warehouse Programmer?
A: To succeed as a Data Warehouse Programmer, key technical skills include proficiency in data modeling and design using tools like ETL (Extract, Transform, Load) software, expertise in database management systems such as relational databases (e.g., MySQL, PostgreSQL) and data warehousing platforms (e.g., Amazon Redshift, Google BigQuery), and knowledge of data visualization tools (e.g., Tableau, Power BI). Additionally, strong problem-solving skills, attention to detail, and effective communication skills are essential soft skills, as they enable collaboration with stakeholders, troubleshooting complex data issues, and presenting insights to non-technical teams. By combining these technical and soft skills, Data Warehouse Programmers can design, implement, and maintain efficient data systems that drive business intelligence and inform strategic decision-making.
Q: What is the career path for a Data Warehouse Programmer?
A: A Data Warehouse Programmer's typical career progression involves starting as a Junior Data Warehouse Developer, where they design, develop, and implement data warehouse solutions, then advancing to a Senior Data Warehouse Developer or Lead Data Warehouse Developer, overseeing large-scale projects and mentoring junior team members. Along the way, they can develop skills in data modeling, ETL (Extract, Transform, Load) processes, data visualization tools, and cloud-based data warehousing platforms, such as AWS or Azure. As they gain experience, they may transition into leadership roles, such as Data Warehouse Architect or Director of Data Engineering, or pursue specialized roles like Data Scientist or Business Intelligence Analyst.
