You are: (personality / competencies etc)

·         Passionate and possess strong ownership in area of work.

·         Understand customers, business needs and expectation, constantly seek improvement in area of work and drive the success of team’s work targets and expectation

·         Adaptable to flexible working hours.

·         Excellent problem solving skills and like new challenges

·         Contribute and enhance the improvement require for existing process

·         Customer service oriented mindset and able to assess impact of operational problem and advice relevant mitigation

·         Good understanding of the end to end value chain, both technical and business

·         Team player, responsible, reliable, and take ownership until task are fully completed E2E

·         Comply to all the company SOPP & audit

Your responsibilities

·         Work closely with Business Analysts, SME's and end users to understand the requirements in order to determine feasibility. Designs technical solutions that are in line with business needs while staying consistent with application architecture.

·         Navigate, understand, analyze and leverage existing complex data structures.

·         Clarifies and resolves requirements questions.

·         Coordinate with vendor to implement best practices and methodologies in mastering data management and in designing physical data models.

·         Follows technical guidelines and best practices to ensure a consistently high standard of quality. Makes recommendations for next steps and long-term improvements.

·         Investigate and troubleshoot data quality workflows or data quality issues or recurring technical problems.

·         Analyze large databases and recommend appropriate optimization for the same

·         Resolves defects or deficiencies with completed development, updates documentation, and provides training to support team members on completed development as necessary.

Your Merits: (these are must haves in terms of qualifications & experience & specific technical /professionals skills that you want from the applicant)

·        Relevant experience in building and architecting data solutions.

·        Relevant experience developing ETL process  using SQL or tool like Talend, etc

·        Relevant of experience with Business Intelligence tools

·         Expert in SQL and high-level languages such as Python or similar scripting language

·         Experience with distributed data architectures and their eco-systems (Spark, EMR, Hadoop, Hive)

·         Strong hands-on dimensional data modeling and data warehousing skills such as Microfocus Vertica preferable

·         Experience in delivering data using Streaming Technologies (Kafka, Kinesis, Spark Streaming, etc.)

·         Experience with continuous integration technologies (Jenkins, GitLab)

·         Worked with Cloud-based architecture such as AWS

·         Practical experience establishing and utilizing data analytics standard methodologies.

·         Excellent organizational skills and detail-oriented.

·         Exceptional teammate who establishes positive working relationships.

·         Good communication skills with the ability to express sophisticated concepts effectively

·         Preferable telco industry experience

Tools We Use (Preferable Skill)

·         Talend

·         Cloudera Data Hub – HBase, Impala, Kudu, Search, Spark, Spark Streaming, Hive on Spark, Cloudera Manager, Cloudera Director, and Cloudera Navigator

·         Data Anonymization  - Microfcus Voltage with Talend through API calls.

·         Data Management – Cloudera Hadoop, Microfocus Vertica & AWS S3

·         Data Access & Reporting  - Qlik Sense & Denodo

·         Infrastructure – On Premise Redhat Virtualization and Cloud AWS

·         OS – Linux and Window