Data Engineer (Officer) at EastWest Bank

Manila, National Capital District, Philippines -

Full Time

Start Date

Immediate

Expiry Date

21 Apr, 26

Salary

0.0

Posted On

21 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, Hadoop, Spark, Kafka, NoSQL, Python, Java, C++, Scala, Data Pipelines, ETL, Cloud Platforms, Apache Airflow, Azkaban, Data Quality

Industry

Banking

Description

About the Job Location: Makati City Corporate Title: Senior Assistant Manager Work Arrangement: Hybrid Our Information Technology team is looking for experienced professionals to join us in Makati City with the role of Data Engineer. In this role, you will design efficient data systems and pipelines that align with business goals. You will transform raw data into actionable formats to support advanced analytics and modeling, and integrate diverse sources to generate powerful insights. Your dream. Our focus. East West Banking Corporation (EastWest) is one of the largest universal banks in the Philippines, and is committed to continuously invest in people and in process, product, and service enhancements, and embrace new ideas to enhance the EastWest experience. We empower our employees to drive their careers and are committed to provide the runway for them to grow. We value teamwork and individual initiative. Join us and be part of a highly engaged team, and a workplace that promotes development and goal attainment. Whether you're just starting out, or already a seasoned professional, EastWest can help you unleash your potential, and bridge the gap between dream to success. What the role will entail Lead stakeholder engagement and project planning to deliver data solutions aligned with business goals Partner with data science, business intelligence (BI), and cross-functional teams to apply insights Build scalable data lakes, warehouses, and extract, transform, load/extract, load, transform (ETL/ELT) pipelines using Structured Query Language (SQL) and cloud tools Automate workflows and optimize infrastructure for advanced analytics Ensure data quality through checks, architecture oversight, and pipeline maintenance Monitor and improve system performance, reliability, and scalability What we're looking for Bachelor's degree in Computer Science, Information Systems, or any related field At least 3 years of experience as a Data Engineer with proficiency in Hadoop, Spark, Kafka, Structured Query Language (SQL)/non-relational (NoSQL) databases, and scripting languages (Python, Java, C++, Scala) Background in building data pipelines and stream-processing systems Proficiency in Hadoop, Spark, Kafka, Structured Query Language (SQL), and non-relational (NoSQL) databases Ability to use tools such as Apache Airflow and Azkaban, and cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Strong communication, leadership, and collaboration skills, with a problem-solving mindset and passion for innovation What you can expect from joining our team Career development and training opportunities Competitive salary package and benefits Performance-based incentives and recognition programs to reward high-performing individuals Opportunity to work with industry experts and be mentored by them Defined career progression paths to guide you in your professional growth

Responsibilities

The Data Engineer will lead stakeholder engagement and project planning to deliver data solutions aligned with business goals. They will build scalable data lakes and pipelines, ensuring data quality and optimizing infrastructure for advanced analytics.