DATA ENGINEER

🚀 We're Hiring: Data Engineer! 🚀

JOB SUMMARY We are seeking an experienced Data Engineer to join our team. This role is

responsible for understanding business priorities and designing, deploying, and

maintaining innovative data solutions using advanced analytics and AI technologies

to support strategic decision-making. You will play a key role in conducting research

and performing comprehensive data analysis to uncover new business use cases,

address operational challenges, and solve complex problems. By enabling intelligent

data-driven solutions, this role contributes directly to RWS’s strategic goals,

enhances customer experience, and supports the IT division’s transformation

agenda.

KEY RESPONSIBILITES (JOB REQUIREMENTS) 1 Data Engineering & Platform Support

2 Design and maintain basic data pipelines and integration processes to

support reliable data flow and ensure data availability for analytics.

3 Implement and monitor data validation and cleansing routines to improve data

quality and ensure accurate reporting.

4 Support and troubleshoot operational issues in data pipelines and databases

to maintain smooth and continuous platform performance.

5 Develop and update dashboards and reports to visualize key metrics and

support data-driven decision-making across teams.

1 Collaboration & Business Understanding

2 Collaborate with stakeholders to gather data requirements and ensure

solutions align with business needs and objectives.

3 Communicate data insights and findings in a clear and actionable manner to

support informed decision-making by non-technical stakeholders.

4 Assist in analyzing structured and unstructured data to identify trends and

patterns that contribute to solving business problems.

1 Learning & Continuous Improvement

2 Research and apply suitable machine learning models or statistical

techniques under guidance

to support business use cases.

• Stay updated on industry trends and tools in data engineering and analytics to

enhance technical skills and contribute to team innovation.

• • Recommend and support process improvements to increase data pipeline

efficiency and improve data reliability over time.

JOB REQUIREMENTS/JOB QUALIFICATIONS Bachelor’s degree in Computer Science, Data Science, Statistics, or a related

field.

At least 8 years’ working experience in data platform, data analytics or

relevant projects.

Proven experience as a Data Engineer, with design and managing enterprise

data architecture, including batch and real time processing.

Solid programming skills in languages such as Python, SQL, SAS, or R for

data analysis and data engineering tasks.

Prior experience as a Data Engineer, with a demonstrated ability to design

and implement data models, ETL processes, and data integration solutions.

Proven experience in at least one major data processing tool (Informatica,

Kettle, Talend, Airflow, Dolphin etc.).

Prior experience with cloud-based data platforms (e.g., Azure Data Factory,

Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage

technologies (e.g., SQL/NoSQL, Vector and Graph etc.).

Excellent problem-solving skills and the ability to work with large, complex

data sets.

Strong attention to detail, ensuring data accuracy and reliability in all

analyses.

Effective communication skills to convey complex technical concepts to non-

technical stakeholders.

Proven ability to work independently as well as collaboratively in a fast-paced,

team-oriented environment.

Prior experience of AI technology stack is a great plus.

Prior experience in at least one BI tool (Power BI, Tableau, etc.).

Related industry experience is a plus.

CORE COMPETENCY

1. Data Analytics

2. Design thinking

3. Business Needs Analysis

4. Data Engineering

5. Data Quality Assurance

6. Data Security & Compliance