Job description
Here at SynergisticIT We just don't focus on getting you a tech Job we make careers.
In this market also our candidates get multiple job offers and $100k + salaries.
please check the below links :
https://www.synergisticit.com/candidate-outcomes/
https://synergisticit.wistia.com/medias/o5gmv7i9eu
https://www.youtube.com/playlist?list=PLJgkOBQ51j5AHT5I6n29glr0q6trzkxYD
https://synergisticit.wistia.com/medias/k6t6a1n4kb
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
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All Positions are open for all visas and US citizens
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart labs etc to name a few.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Engineers/Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We want Data Science/Machine learning/Data Analyst and Java Full stack candidates
For data Science/Machine learning Positions
REQUIRED SKILLS
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Project work on the technologies needed
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Knowledge of Statistics, Python, Computer Vision, data visualization tools
Excellent written and verbal communication skills
Preferred skills: Snowflake, Databricks, Text mining, Tableau, PowerBI, Databricks, Tensorflow
REQUIRED SKILLS For Java /Full stack/Software Positions
Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
Highly motivated, self-learner, and technically inquisitive
Experience in programming language Java and understanding of the software development life cycle
Project work on the skills
Knowledge of Core Java , javascript , C++ or software programming
Spring boot, AWS Microservices, Docker, Jenkins and REST API's experience
Excellent written and verbal communication skills
If you get emails from our Job Placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates
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Frequently asked questions
Q: What skills or qualities help someone succeed as a HRIS Data Architect and Data Warehouse Developer?
A: To succeed as a HRIS Data Architect and Data Warehouse Developer, key technical skills include proficiency in data modeling, data warehousing tools such as ETL (Extract, Transform, Load) software, and programming languages like SQL, Python, or Java. Additionally, strong analytical, problem-solving, and communication skills are essential, as well as the ability to collaborate with stakeholders and technical teams to design and implement data solutions. These strengths enable HRIS Data Architects and Data Warehouse Developers to effectively manage complex data systems, drive business insights, and support organizational growth.
Q: What is the career path for a HRIS Data Architect and Data Warehouse Developer?
A: A typical career progression for a HRIS Data Architect and Data Warehouse Developer involves starting as a Data Analyst or Business Intelligence Developer, then advancing to a Data Architect or Senior Data Analyst role, and eventually becoming a Lead Data Architect or Enterprise Data Architect. Key opportunities for skill development include learning data governance, cloud-based data platforms, and advanced data visualization tools, as well as developing expertise in data modeling, data warehousing, and business intelligence. Long-term career prospects may include transitioning into executive roles such as Chief Data Officer or Chief Information Officer, or pursuing specialized roles like Data Scientist or Business Intelligence Manager.
