Payments Data Tech Lead

We are looking for a Data Engineer Tech Lead to join our IT Payments Data Team. The team is responsible for the evolution and support of the payments product, designing, developing, and implementing scalable and efficient data solutions for the payments domain.

Responsibilities

• Act as a technical referent for the team, developing code for processing and analyzing large and complex datasets (e. g. , unstructured tracking data, large
  - text datasets, graph data).
• Design and implement highly scalable batch and
  - time data processing workflows and components that provide
  - driven functionality (e. g. , search, recommendation, classification services), leveraging machine learning, Big Data technologies, and distributed systems.
• Build, monitor, and operate data services within the infrastructure, enhancing data quality, utility, and automating processes.
• Deploy solutions on cloud technologies, primarily Google Cloud Platform (GCP).
• Collaborate closely with Data Scientists and Analysts to support the design, implementation, and evaluation of algorithms, ML models, and other
  - driven features.
• Guide and mentor team members through technical challenges related to data engineering and the tech stack.

Required Skills & Qualifications

Education & Experience

• Degree in Computer Science, Information Technology, Computer Engineering, or a related field.
• 3–9 years of experience in designing and implementing scalable software and
  - driven services.

Technical Skills

• Strong experience with Big Data technologies, data storages (relational databases,
  - value stores), data warehouses, data lakes, and lakehouses.
• Programming experience with Spark, Python, Java, Scala (for batch and
  - time processing).
• Experience building and optimizing data pipelines for large datasets.
• Experience in cloud environments, especially GCP services (Big
  Query, Big
  Table, Dataproc, GCS, Composer, GKE).
• Familiarity with low-code/no-code ETL tools (e. g. , YAML).
• Strong SQL skills and experience with Business Intelligence.
• Experience with workflow management platforms (Airflow) and collaborative tools (Jupyter).
• Knowledge of Agile methodologies (SAFe/Scrum).
• Understanding of software development, CI/CD, Dev
  Ops, and QA practices (e. g. , XLRelease/XLDeploy, Terraform, Jenkins, Git, Bitbucket).

Nice to Have

• Experience with Microsoft Azure and Power BI.
• Familiarity with AI/ML concepts and technologies.
• Experience in information retrieval or extraction is a plus.

Personal Skills

• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• Ability to mentor and guide junior team members.
• Comfortable working in a fast-paced, international, and
  - functional team environment.

Seniority level: Mid-Senior level

Employment type: Contract

Job function: Consulting

Industries: IT Services and IT Consulting