Data Engineer

Key Responsibilities:

.Design and build data pipelines and consolidated data sources for performance, scalability, and real-time processing.

.Define clear objectives, metrics and deployment strategies for data products and services fulfilling business reporting needs.

.Collaborate closely with product and tech teams to gather business and data requirements for building effective dashboards and reports.

.Assist in conducting Data Heros workshops/ trainings to cultivate JP staffs in using analytical and BI tools for business analytics.

.Support data governance initiatives in form of driving data stewardship and data lifecycle management.

.Participate in cyber security and governance assessments to ensure compliance with data privacy regulations and industry standards.

.Generate and implement relevant codes for data transformation (ETL), normalisation and aggregation tasks with relevant Data quality monitoring recommendations.

Qualifications:

Completed a degree in Business Analytics, Data Science, Data Engineering or a related field.

.3-5 years relevant experience in ETL/ELT & data warehousing using Saas/PaaS such as Snowflake, AWS Redshift and other related open-source tools such dbt

.Strong foundation in related SQL languages such as PostgreSQL, Oracle SQL and Python for data wrangling and analysis.

.Strong knowledge in data visualization tools such as PowerBI/Tableau

.Experience with iPaaS solutions i.e. Workato, Boomi, MuleSoft will be a plus.

.Relevant certifications in data engineering fundamentals or cloud platforms (e.g., AWS Certified Data Engineer, Azure Data Engineer Associate).

.Strong business acumen & analytical mindset for problem-solving, adaptable, eager to learn, and enthusiastic about new technologies.