Financial Data Specialist - Data Engineer

Catalyte; Colombia; Presencial; COP 73.142.305 - 82.285.094; Jornada completa

Descripción de la vacante

A leading tech company is seeking a Data Engineer in Bogotá, Colombia. The role involves designing, building, and maintaining robust data pipelines. Candidates must have strong experience in SQL and Apache Airflow, with a minimum of 6 years in data engineering. This is a mid-senior level position with responsibilities that include working on unstructured data. Attractive contract compensation of $400 - $450 USD per week is offered.

Formación

• 6-8 years of experience in data engineering with financial data background.
• Excellent verbal and written communication skills.
• Able to ingest data from APIs.

Responsabilidades

• Design and maintain data pipelines and infrastructure.
• Works with data architect and product managers to discuss projects.
• Leads architectural review documents with assistance from senior engineers.

Conocimientos

Apache Airflow experience

Strong SQL experience

Financial Data knowledge

General Accounting knowledge

Experience with unstructured data

Data pipeline debugging

Problem-solving skills

Educación

Bachelor's or master's degree

Herramientas

SQL

ETL tools/framework

High-level programming language

Descripción del empleo

3 days ago Be among the first 25 applicants

Apache Airflow experience is REQUIRED

Strong SQL experience is REQUIRED

Financial Data and general Accounting knowledge is REQUIRED

We need someone to dig through the financial data that has the knowledge and context to bring our insights, not just data.

Experience broadly with different data sources, not just clean ones, not just enterprise all organized stuff, but ugly, unstructured, messy data that needs transformation before use.

The Data Engineer designs, builds, and maintains robust data pipelines and infrastructure that power our data marts and warehouses. You’ll work alongside a team of data professionals to ensure reliable, scalable, and well-governed data systems that support analytics, reporting, and decision-making across the organization.

Essential Duties and Responsibilities:

• Meets with data architect and product managers to discuss and plan data projects as a subject matter expert.
• Provides estimations on proposed features and assists with roadmap planning activities.
• Prepares reports on engineering project specifications, activities, or status.
• Conducts feasibility studies for new features, data systems, and platforms to guide the direction of the technical stack used by the team and leads architectural review documents with assistance from senior engineers.
• Works as part of a development team in the design of data flows and datasets and is a subject matter expert on projects as assigned.
• Learns and adheres to team processes, standards, and best practices. Participate in continuous discussions with the team to make improvements.
• Handles complex issues and problems and refers only the most complex issues to higher-level staff.
• Collaborates across multiple engineering teams in the design of new features and functionality.
• "Independently prepare data sets for usage, including building ETL pipelines, testing of pipeline performance, confirming data accuracy, and validation of data quality to ensure stakeholder requirements are met.
• Develops and maintains documentation, creates architectural design diagrams and documents.
• Provides leadership, coaching, and mentoring to fellow and more junior engineers and other team members.
• Provides input to technical strategies for the team in conjunction with business priorities and industry trends.
• Drives team development of engineering best practices and keeps up to date with latest trends.

Qualifications and Requirements:

• Bachelor's or master's degree
• 6-8 years of experience in data engineering with a background in financial data
• Excellent verbal and written communication skills.
• Expert knowledge of SQL and one high-level programming language.
• Experience ingesting data from APIs.
• Advanced knowledge of data pipelines and established competency in at least one ETL tool/framework
• Able to debug advanced data pipelines and datasets
• Problem-solving skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Software Development

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