Data Engineering Specialist
6 days ago
Company Overview
SID Global Solutions APAC is a leading provider of data-driven solutions, committed to delivering high-quality services that meet the evolving needs of our clients. Our team of experts is dedicated to helping businesses unlock the full potential of their data, leveraging cutting-edge technologies and innovative approaches to drive growth and success.
Job Summary
We are seeking a skilled Data Engineer to join our dynamic team, responsible for designing and developing scalable data architectures that ensure accurate and efficient data flow across various systems. The ideal candidate will have a strong background in data engineering, experience working with cloud-based data platforms, and excellent collaboration skills.
Key Responsibilities:
- Design and develop scalable data pipelines to ingest, transform, and load data across various platforms (cloud and on-premise).
- Lead the development and optimization of ETL processes to ensure seamless data flow, integrity, and consistency across internal and external systems.
- Manage and optimize relational and NoSQL databases for performance, reliability, and scalability.
- Work with cloud platforms such as AWS, GCP, or Azure to deploy and scale data solutions.
- Build and maintain data warehousing solutions to ensure efficient and reliable storage of large datasets.
- Implement data quality and validation checks across data pipelines to ensure accuracy, consistency, and availability of data.
- Automate routine tasks and implement monitoring to ensure data systems and pipelines run efficiently with minimal downtime.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that enable data analysis and insights.
- Implement best practices for data governance, security, and compliance to ensure adherence to local regulations.
- Maintain clear and up-to-date documentation for data pipelines, infrastructure, and data models to ensure knowledge sharing and transparency across teams.
Requirements:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- 3-5 years of experience in data engineering or a similar role, ideally in a fast-paced, data-driven environment.
- Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL, SQL Server).
- Strong programming skills in Python, Java, or Scala for building data pipelines, automating tasks, and processing large datasets.
- Experience with ETL tools (e.g., Apache Airflow, Talend, Apache NiFi) for automating data workflows and ensuring data transformation processes.
- Familiarity with cloud data services such as AWS (Redshift, S3, Lambda), Google Cloud Platform (BigQuery, Cloud Storage), or Microsoft Azure.
- Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) for working with unstructured data.
- Experience with data warehousing solutions like Amazon Redshift, Snowflake, or Google BigQuery.
- Strong understanding of data governance principles and data privacy laws, especially the Data Privacy Act of 2012 in the Philippines.
- Excellent problem-solving skills and the ability to troubleshoot data issues across systems.
- Familiarity with version control systems (e.g., Git) for collaborative development.
Preferred Skills:
- Experience with big data technologies
- Knowledge of containerization tools like Docker and Kubernetes for deploying and managing applications.
- Experience with CI/CD tools for automating data workflows and deployments.
- Familiarity with data visualization tools such as Tableau, Power BI, or Looker for presenting and analyzing data.
- Basic understanding of machine learning workflows and how to prepare data for model development.
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