Indotronix Avani Group
From Indotronix Avani Group's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The Data Engineer is responsible for designing, building, and leading the development of scalable data pipelines and data platforms that support CMA CGM’s regional data products and analytics initiatives.
This position leads the data engineering lifecycle, ensuring data solutions are reliable, secure, and aligned with business and governance requirements. Working closely with IT leadership, business stakeholders, and global teams, the Data Engineer translates business needs into scalable data architectures and drives best practices across the data engineering function.
Strong expertise in data engineering principles, architecture design, and large-scale data platform development
Advanced proficiency in SQL and data modelling (dimensional modelling, star schema)
Proven experience with ETL / ELT pipeline design and optimisation
Hands-on experience with Apache Airflow (pipeline orchestration)
Hands-on expertise with dbt (Data Build Tool) for transformation and modelling
Strong experience with cloud data platforms (Snowflake preferred)
Solid understanding of data lifecycle (raw → curated → consumption layers)
Experience implementing data quality, observability, and monitoring frameworks
Familiarity with version control, CI/CD pipelines, and Agile delivery practices
Strong knowledge of data governance, security, and access control (RBAC)
Excellent analytical and problem-solving capabilities
Strong leadership and mentoring skills, with experience managing technical teams
Ability to communicate complex technical topics to business stakeholders
Highly organised, adaptable, and capable of managing multiple priorities in a fast-paced global environment
Description
% of Time Spent
Lead the design and implementation of scalable data architecture and multi-layer data platforms
15
Design, develop, and optimize ETL/ELT pipelines
15
Define and enforce engineering standards using Apache Airflow and dbt.
15
Build and maintain robust data models (star schema, data marts)
40
Ensure data quality, reliability, and observability, including
10
MISCELLANEOUS RELATED DUTIES or PROJECTS AS ASSIGNED
5
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