Careers
Data Engineer - Implementation
About The Company
Personetics is an enterprise-software growth-phase Fintech start-up. We develop AI-powered solutions helping banks deliver highly intelligent and personalized banking experiences to their customers across all digital channels. We’re pioneering and establishing a whole new category of consumer banking based around data-driven personalization and customer engagement.
We are growing and looking for a talented Data Engineer to join our Customer Success Team.
The position is based in The Philippines.
About The Position
As a Data Engineer at Personetics, you will be a key player in designing, implementing, and optimizing data solutions leveraging Airbyte for data integration, DBT for advanced modeling, and Apache Airflow for workflow orchestration. This role requires a physical presence on-site for 50% of the time, contributing to the success of our AI-driven financial solutions while ensuring the seamless flow and utilization of data.
Responsibilities
1. Airbyte Integration:
- Design and implement data pipelines using Airbyte connectors to facilitate efficient and reliable data extraction, ingestion, and integration.
- Collaborate with cross-functional teams to ensure seamless data flow across our financial data landscape.
2. DBT Modeling and Transformation:
- Utilize DBT to create modular and scalable datasets, enabling advanced analytics and reporting tailored to the financial domain.
- Work closely with data analysts and scientists to align DBT models with specific business requirements.
3. Apache Airflow Workflow Orchestration:
- Design, implement, and optimize workflows using Apache Airflow to automate and schedule critical data tasks.
- Ensure the performance and efficiency of Airflow workflows, focusing on the security and compliance requirements of the financial sector.
4. Data Integration and Collaboration:
- Collaborate with cross-functional teams to seamlessly integrate data solutions into Personetics' AI-driven financial applications.
- Facilitate smooth data flow between different components of the data infrastructure.
5. Database Management:
- Design and implement databases based on data modeling principles, prioritizing optimization for performance, reliability, and security.
- Collaborate with database administrators to ensure the integrity and security of financial data storage.
6. Data Quality Assurance:
- Implement data quality checks and validation processes within DBT and other tools to maintain high-quality data standards.
- Proactively identify and address data quality issues, ensuring compliance with financial regulations.
7. Documentation and Training:
- Document implementation processes, configurations, and best practices.
- Provide training and support to end-users, analysts, and team members.
8. Innovation and Continuous Improvement:
- Stay abreast of industry trends, emerging technologies, and financial regulations.
- Propose and implement improvements to data engineering processes to enhance our AI-driven financial solutions.
Requirements
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Data Engineer with a focus on Airbyte, DBT, and Apache Airflow.
- Strong proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL, Oracle).
- Hands-on experience with ETL processes and workflow orchestration using Apache Airflow.
- Proficiency in DBT for data modeling and transformation.
- Experience with Airbyte connectors for data extraction and ingestion.
- Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
- Proficient in programming languages like Python, Java, or Scala.
- Proven experience in customer facing roles.
- Must be able to travel 50% of the time to customers site.
- Experience working and collaborating in a diverse and distributed global team environment.
Nice to have
- Certificaitons in relevant technologies (e.g., Apache Airflow Certified, DBT Fundamentals).
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Knowledge of data governance, security, and compliance standards in the financial industry.
- Strong problem-solving skills, attention to detail, and a proactive approach.
