We are hiring!
At Aceprosoft, we focus on Empowerment, Disruption, Passion and Openness. We need people who are dedicated to delivering ingenious solutions which solve our clients most challenging problems. We are always looking for brilliant people to join the team. Our current vacancies are listed below but if you’d really like to work for us then drop us your CV at joinus@aceprosoft.com with a covering letter and we’ll see if we can make it happen.
Checkout our Current Jobs!
Key Skills:
- Adheres to and advocates for software engineering best practices (eg technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, and documentation)
- Responsible for deploying secure and well-tested software that meets privacy and compliance requirements
- Develops, maintains, and improves CI/CD pipeline
- Deep and hands-on experience (typically 5+ years) in designing, planning, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments
- Object-oriented programming languages – Python (Required)
- Expert in developing Azure Datafactory pipelines, Azure Databricks (Python/SQL) notebooks, and Databricks Delta Lake.
- Good knowledge in using Azure Datalake, GIT hub, CI/CD, DevOps, and Azure Resources (Resource group, KeyValult, etc..)
- Experience designing and implementing large-scale distributed systems
- Should have a good background in ETL/ELT and Data Space with a clear concept of data lakes
- Deep knowledge and hands-on experience in technologies across all data life cycle stages
- Good Communication and Strong stakeholder management skills
Key Skills:
- Adheres to and advocates for software engineering best practices (eg technical design, technical design review, unit testing, monitoring & alerting, checking in code, code review, and documentation)
- Responsible for deploying secure and well-tested software that meets privacy and compliance requirements
- Develops, maintains, and improves CI/CD pipeline
- High proficiency in one or more analytical tools (R, Python, Tableau, Spark, version control)
- Understand how to shape business requirements into an appropriate data and analytics project.
- Knowledge of how to maintain data, tools, and processes to generate reproducible analysis and implement robust and valuable data solutions.
- Ability to teach others Data Science techniques and tools.
- Strong written and verbal communication skills to engage effectively with colleagues at a range of seniorities and knowledge levels.
- An open and collaborative approach in order to foster strong positive partnerships with colleagues all over the organization.