The role You will be tasked with the monumental responsibility of shaping firm into a more data-driven team by kickstarting the development of our data warehouse. You will be responsible for firm’s data architecture and will spearhead exciting data projects that will be instrumental in driving the performance of the group.
Create and maintain optimal data pipeline architecture and warehouse
Design, and prototype data processing pipelines that are used for making product decisions
Build/Improve and deploy data tools for data analysis
Create and expansion of ETL data flows from all data sources i.e. web analytics, e-commerce store, retail POS, ERP etc.
Design, construct, install, test and maintain highly scalable data management systems
Assemble large, complex data sets that meet functional business requirements
Continuously identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Build high-performance catalog algorithms, prototypes, predictive models and proof of concepts
Implement web tracking to provide advanced reports on the customers’ experience
Integrate new data management technologies and software engineering tools into existing structures
Collaborate closely with other functional stakeholders especially BI, Marketing and Management to support in their data infrastructure needs
Work closely alongside BI team who will be responsible for the visualizaton and building of reports
You should have
A self starter with a strong work ethic and ‘get things done’ attitude
A genuine curiosity to know how things work and how to make them better
A knack for solving problems in a creative manner
Humility and self confidence in being comfortable with the fact that you will be the wizard who will be building the underlying infrastructure, but ultimately always in a supporting role for all other teams
Focus and a high attention to detail especially in understanding the intricacies of how and why a data pipeline works as it does
Strong project management skills especially with meaty data warehousing projects
Strong relationship management and influencing abilities; ability to build strong relationships and trust with internal and external stakeholders
Strong project management skills and ability to manage and influence other functional peers
Experience & Preferred Qualifications
Highly proficient in MySQL/MariaDB
Experience in AWS Redshift
Programming proficiency in at least major language such Python/Java/Scala
3+ years of experience in a Data Engineer role with a degree or higher in Computer Science, Electronics or Electrical Engineering, Software Engineering, Information Technology or other related technical disciplines.
Experience in building data pipelines using Hadoop, Spark is a big plus
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
Able to communicate and collaborate with business stakeholders to understand data requirements and translate them
HackerTrail is a curated marketplace exclusively for IT talent ranging from developers to infrastructure specialists to data scientists. Using clever technology and gamification, HackerTrail connects the right candidate to the right job opportunities with top companies across Southeast Asia.
Job Description :
To ensure customer service and support all operations. To create customer delight at every interaction.
Interacting with external customers and internal customers and addressing their queries, requests and complaints.
Committed TATs are met consistently
Complaints Management- addressing customer complaints at the branch, system updation, coordination with Sales/HUB/ other functions for resolution.
Refunds processing and dispatch
Undelivered policy documents tracking and management.
Maintenance of all files and registers.
New Business Processing:-
Handling end to end New business processing starting from creation of Client id,Case start up, New business login, Follow up for policy issuance, Quality Check
Follow up with HUB for policy issuance of pending cases