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Data Engineer at Satellite Office

Pasig, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, ETL, Data Modeling, SQL, Python, Java, Scala, Big Data, Cloud Services, Data Governance, Data Security, Analytics, Problem Solving, Attention to Detail, Data Warehousing

Industry

Outsourcing and Offshoring Consulting

Description

We are looking for a skilled Data Engineer to design, build, and manage our data infrastructure. You will be responsible for constructing robust data pipelines that collect, process, and store data from various sources, enabling data-driven decision-making for our business units. Experience with modern cloud data platforms is highly valued. Key Responsibilities: Design, construct, install, and maintain large-scale data processing systems and pipelines. Integrate data from disparate sources (APIs, databases, files) into a centralized data warehouse or lake. Develop and maintain ETL/ELT processes to ensure data is accurate, reliable, and accessible. Build and optimize data models for reporting and analytics tools (e.g., Power BI, Tableau). Work with data scientists and analysts to assist in data ingestion and preparation needs. Ensure data governance, security, and compliance standards are met. Monitor data systems performance and implement optimizations. Qualifications: Bachelor’s degree in Computer Science, Engineering, IT, or a related field. Proven experience as a Data Engineer or in a similar role, ideally in a multinational corporation or for international clients. Strong programming skills in Python, Java, or Scala. Expertise in SQL and experience with relational (e.g., SQL Server, PostgreSQL) and NoSQL databases. Hands-on experience with big data tools (e.g., Spark, Kafka) and cloud data services (e.g., AWS Glue/Redshift/S3, Azure Data Factory/Synapse, GCP BigQuery). Experience with data pipeline and workflow management tools (e.g., Airflow, dbt) is a strong advantage. Excellent analytical and problem-solving abilities with a meticulous attention to detail.

Responsibilities

The Data Engineer will design, build, and manage data infrastructure, constructing robust data pipelines for data collection, processing, and storage. This role involves integrating data from various sources and ensuring data accuracy and accessibility for decision-making.