Roles & Responsibilities
Job Summary :
We are seeking a skilled and detail-oriented Data Engineer to join our team. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions that transform raw data into actionable insights. You will work with both structured and unstructured datasets, applying advanced data engineering techniques to support data-driven decision-making across the organization.
- T his is a 12 months contract role to start with.
Key Responsibilities :
Design, develop, and implement robust data pipelines and analytics applications to convert raw data into meaningful and usable formats.Utilize data-oriented programming languages and modern visualisation tools to support data integration, transformation, and reporting.Apply advanced techniques such as data mining, data modeling, natural language processing (NLP), and machine learning to analyze and interpret complex datasets.Work with large volumes of structured and unstructured data to uncover patterns, trends, and insights that drive business value.Develop dynamic and interactive data visualisations and dashboards for stakeholders using industry-standard tools (e.g., Power BI, Tableau).Collaborate closely with data scientists, analysts, and business teams to ensure data solutions are aligned with business goals.Ensure data quality, integrity, security, and compliance across all data engineering activities.Maintain documentation of processes, data flow, and system configurations.Required Skills & Qualifications :
Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.Proven experience in data engineering, data architecture, or a similar role.Proficient in data-oriented programming languages such as Python, SQL, or Scala.Hands-on experience with big data tools and platforms (e.g., Hadoop, Spark, Kafka).Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).Experience in applying data mining, machine learning, and NLP techniques in real-world applications.Strong skills in data visualisation tools such as Tableau, Power BI, or similar.Solid understanding of database management systems, ETL processes, and data governance best practices.Experience working with cloud platforms (e.g., AWS, Azure, GCP).Familiarity with DevOps and CI / CD practices in data engineering.Knowledge of data security, privacy regulations, and compliance standards.Argyll Scott Consulting Pte Ltd
Tell employers what skills you have
Machine Learning
Azure
Big Data
Data Modeling
Pipelines
Hadoop
ETL
Data Integration
Data Quality
Data Engineering
SQL
Python
Data Architecture
Data Science
Power BI
Data Warehousing