-
US Citizen
-
Green Card
-
EAD (OPT/CPT/GC/H4)
-
H1B Work Permit
-
Corp-Corp
-
W2-Permanent
-
W2-Contract
-
Contract to Hire
-
UG :- - Not Required
-
PG :- - Not Required
-
No of position :- ( 1 )
-
Post :- 1st Jul 2024
- Possess a strong understanding of AWS services and their applications in business processes.
- Demonstrate proficiency in PySpark for data processing and analysis.
- Have experience working with Unix systems and scripting.
- Exhibit excellent analytical and problem-solving skills.
- Show strong communication and interpersonal skills.
- Have a proven track record of successfully managing and delivering projects.
- Display the ability to work effectively in a fast-paced, dynamic environment.
- Be detail-oriented with a focus on data accuracy and quality.
- Demonstrate the ability to work independently and as part of a team.
- Show a commitment to continuous learning and professional development.
- Have experience with data visualization tools and techniques.
- Possess a bachelors degree in a related field or equivalent work experience.
- Be familiar with Agile
Roles & Responsibilities
- Analyze business processes to identify areas for improvement and optimization.
- Collaborate with stakeholders to gather and document business requirements.
- Develop and implement data-driven solutions using AWS, PySpark, and Unix.
- Provide insights and recommendations based on data analysis to support decision-making.
- Oversee the development and maintenance of data pipelines and ETL processes.
- Ensure data quality and integrity across various systems and platforms.
- Create and maintain detailed documentation of business processes and technical solutions
- Conduct regular reviews and updates of business processes to ensure alignment with organizational goals.
- Facilitate communication and collaboration between technical and non-technical teams.
- Monitor project progress and provide regular updates to stakeholders.
- Identify and mitigate risks associated with data and process changes.
- Support the development and implementation of best practices for data management and analysis.
- Provide training and support to team members on new tools and processes