Data Engineer Lead

3 days ago


Pasig, National Capital Region, Philippines UnionBank of the Philippines Full time

Talent Attraction Officer | Sourcing for the best talents | #NextGenBank | Technology | Transformation

Job Overview

We are seeking a skilled and motivated ETL/ELT Developer or Data Engineer to join our data management team. In this role, you will be responsible for designing, implementing, and maintaining efficient, scalable data integration pipelines using top-tier technologies such as Confluent Kafka, Snowflake, SQL, and Python. This position requires a detail-oriented professional who thrives in a dynamic, innovative environment.

Responsibilities

  1. Design, build, and maintain robust ETL/ELT processes to integrate data from diverse sources into Snowflake.
  2. Develop and optimize data pipelines using Confluent Kafka to efficiently process and distribute large volumes of data.
  3. Write complex SQL queries and scripts in Python to manipulate, analyze, and report data according to business needs.
  4. Ensure data quality and integrity through rigorous testing and validation of the data integration processes.
  5. Monitor and troubleshoot performance issues on data integration processes and propose solutions.
  6. Document all data engineering procedures, systems, and ETL/ELT flows for maintenance and scaling purposes.
  7. Collaborate with cross-functional teams, including data scientists and business analysts, to support data-centric projects.
  8. Maintain a broad understanding of data management technologies and best practices, including Data Quality and Master Data Management, although these are not required skills.
  9. Create and deliver executive updates to Heads and upper management (Stakeholders).

Qualifications

  1. Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  2. Strong proficiency in SQL, Python, and experience in database management and data warehouse design, particularly with Snowflake.
  3. Experience with Confluent Kafka or similar streaming data platforms.
  4. Experience with low code or ETL tools preferred (Snowflake, Talend, Informatica, etc).
  5. Demonstrated ability to design, build, and support data warehouses and data hubs.

Preferred Skills

  1. Knowledge of Data Architecture, Data Modeling, Data Quality, and Master Data Management.
  2. Experience in cloud services (AWS, Azure, Google Cloud).
  3. Familiarity with additional programming languages (Java).

Experience Levels

  1. 7 or more years of experience in data engineering.
  2. Expert in data architecture and complex data pipeline ecosystems.
  3. Leadership skills and experience mentoring junior engineers.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Banking

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