Implementation Engineer - Big Data Application Stack (6-8 yrs)

We are seeking an Implementation Engineer to support the deployment and configuration of Tookitaki's cutting-edge AI and machine learning solutions for financial crime detection.

This role is essential in ensuring successful client onboarding and technical integration, with a focus on big data solutions and enterprise software deployment.

The ideal candidate will contribute to enhancing client satisfaction through timely and accurate implementation, ensuring high data quality, and working closely with both product and engineering teams.

Roles & responsibilities :

- Installation & Configuration : Own and deliver the installation and configuration of AI products, ensuring alignment with client technical environments.

- Solution Architecture : Participate in solution architecture discussions to estimate hardware requirements and system sizing.

- Issue Resolution : Conduct effective defect triaging and collaborate with product and engineering teams to resolve issues.

- Release Management : Play an active role in product release cycles, signing off on client-specific releases and configurations.

- ETL Support : Support ETL processes by maintaining and resolving defects in existing solutions.

- Data Flow Design : Translate data access, transformation, and movement requirements into functional and mapping designs.

- Client Communication : Communicate effectively with clients, manage expectations, and provide training/documentation on product features and configurations.

- Security & Compliance : Ensure data security and compliance throughout the implementation process. OKR

- On-time Installations : Complete 95% of product installations and configurations within the agreed timelines for the first year.

- Client Satisfaction : Achieve a client satisfaction score of 90% or higher for all implementation projects.

- Issue Resolution : Reduce average time-to-resolution for implementation defects by 20% within the first 6 months.

- ETL Efficiency : Enhance ETL processes, ensuring data quality and reducing downtime by 10% over the year.

Requirements :

Experience :

- 2+ years working with big data application stacks, including HDFS, YARN, Spark, Hive, and HBase.

- 1+ years in AWS Cloud setup and configuration.

- 1+ years of experience with enterprise software installation, including security solutions like active directories, firewalls, SSL certificates, etc.

- Knowledge of ETL processes and Python/shell scripting is a plus.

Skills :

- Proficiency in enterprise software deployment, client communication, and data quality management.

- Strong problem-solving and collaboration skills.

- Prior experience in CI/CD tools like Jenkins and working in a Hadoop environment is desirable.

Non-technical Skills :

- Strong verbal and written communication skills.

- Ability to work well in a team and under pressure, especially within a startup environment.