Data Engineer - Mid level (Snowflake)

A7 Recruitment Corporation; Taguig; Híbrido; PHP 1.800.000 - 2.400.000; Jornada completa

Descripción de la vacante

A7 Recruitment Corporation is seeking a senior Data Engineer to design, build, and optimize data pipelines and data warehouses. You will work with Java and Python to implement ETL, ensure data quality, and enable BI using Snowflake and Qlik. Experience in AWS services and agile frameworks is required for collaboration across teams.

You will mentor data teams, define migration plans, and drive best practices for data reliability in a financial industry context.

Formación

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related quantitative discipline from a top-tier university.
• Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate; Snowflake SnowPro Core certification.

Responsabilidades

• Analyze internally and externally sourced raw data to generate BI and advanced analytics datasets based on stakeholder requirements.
• Design data pipelines to curate sourced data into the in-house data warehouse.
• Develop data marts to facilitate dataset consumption from the in-house data warehouse by business and IT stakeholders.
• Design data model changes in alignment with in-house data warehouse standards.
• Define and plan migration activities to transition data to the in-house data warehouse.
• Perform regular housekeeping of raw data and data stored in the in-house data warehouse.
• Build and maintain data pipelines and data platforms.
• Develop data solution prototypes to support evolving business needs.
• Explore methods to enhance data quality and reliability.
• Identify opportunities to acquire higher-quality raw data.
• Develop analytical tools to support BI and advanced analytics.
• Execute data migration from existing databases to the in-house data warehouse.
• Promote and champion data engineering standards and best practices.

Conocimientos

Data pipelines

ETL development

Data warehousing

Data modeling

Programming (Java)

Programming (Python)

BI & analytics

Data quality

Analytical thinking

Communication

Agile (Kanban/SAFe/SCRUM)

Educación

Bachelor’s or Master’s in CS/IT/Engineering

Top-tier university background

Herramientas

Snowflake

Qlik

AWS Glue

AWS RDS

AWS Fargate

PostgreSQL

MS SQL

Descripción del empleo

Requirements

• Data Pipeline Engineering & ETL Development (AWS Glue, ETL concepts)
• Data Warehousing & Data Modeling (Snowflake, Data Marts, Data Migration)
• Programming & Scripting (Java, Python)
• Cloud Data Technologies (AWS RDS, AWS Fargate, AWS Ecosystem) Database Systems (Snowflake, PostgreSQL, MS SQL)
• Business Intelligence & Analytics Support (BI Datasets, Qlik, Advanced Analytics)
  Data Quality, Maintenance & Reliability
• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related quantitative discipline from a top-tier university
• Certified in AWS Data Engineer Specialty or AWS Solutions Architect Associate
• Snowflake SnowPro Core Certification
• 7+ years of experience in data engineering or a similar role, preferably in the financial industry
• Strong understanding or hands-on experience with Enterprise Agile frameworks (e.g., Kanban, SAFe, SCRUM)
• Solid understanding of ETL, data warehousing, BI (e.g., Qlik), and advanced data analytics concepts
• Deep knowledge of cloud-enabled technologies such as AWS RDS, AWS Fargate, etc.
• Experience with databases and data warehouses including Snowflake, PostgreSQL, and MS SQL
• Strong programming skills with advanced knowledge of Java and/or Python
• Practical experience with ETL tools such as AWS Glue
• Excellent critical thinking, analytical, and problem-solving skills
• Strong communication skills with a team-oriented mindset

Responsibilities

Design

• Analyze internally and externally sourced raw data to generate BI and advanced analytics datasets based on stakeholder requirements
• Design data pipelines to curate sourced data into the in-house data warehouse
• Develop data marts to facilitate dataset consumption from the in-house data warehouse by business and IT stakeholders
• Design data model changes in alignment with in-house data warehouse standards
• Define and plan migration execution activities to transition data from existing database solutions to the in-house data warehouse

Engineer

• Perform regular housekeeping of raw data and data stored in the in-house data warehouse
• Build and maintain data pipelines and data platforms
• Develop data solution prototypes to support evolving business needs
• Explore methods to enhance data quality and reliability
• Identify and pursue opportunities to acquire higher-quality raw data
• Develop analytical tools to support BI and advanced analytics activities Execute data migration from existing databases to the in-house data warehouse
• Promote and champion data engineering standards and best-in-class methodologies