Lead Data Engineer

Ottomatik.io; Agudos; Teletrabalho; BRL 20.000 - 80.000; Tempo integral

Resumo da oferta

A leading company is seeking a Lead Data Engineer to develop and support data pipelines, design scalable data solutions, and lead data discovery sessions. This remote role requires strong expertise in data architecture, ETL design, and programming, particularly in Python and SQL. Candidates should have excellent communication skills and a relevant degree. The position offers a competitive salary and the opportunity to work with cutting-edge technologies.

Qualificações

• 3+ years in data architecture, analysis, modeling, and integration.
• 5+ years in custom ETL design, implementation, and maintenance.

Responsabilidades

• Developing and supporting data pipelines for business intelligence.
• Designing scalable data warehousing solutions and ETL pipelines.
• Leading data discovery sessions to understand analytics requirements.

Conhecimentos

Data Architecture

Data Analysis

Python

SQL

Cloud Platforms

Agile/Scrum

Communication

Formação académica

Bachelor’s Degree in Computer Science

Master’s Degree in Information Systems

Ferramentas

GitHub

GitLab

Tableau

Kafka

Kinesis

Descrição da oferta de emprego

Join to apply for the Lead Data Engineer role at Ottomatik.io.

1 week ago Be among the first 25 applicants.

Hi there! We are South and our client is looking for a Lead Data Engineer.

Note To Applicants

• Eligibility: This position is open to candidates residing in Latin America.
• Application Language: Please submit your CV in English. Applications submitted in other languages will not be considered.
• Professional Presentation: We encourage you to showcase your professional experience by including a Loom video in the application form. While optional, candidates who provide a video presentation will be prioritized.

Duties & Responsibilities

• Developing and supporting data pipelines to support data programs, services, process optimization, and business intelligence.
• Designing and developing scalable data warehousing solutions and ETL pipelines in Big Data environments (cloud, on-prem, hybrid).
• Leading data discovery sessions with business teams to understand data requirements for analytics projects.
• Ensuring proper testing and monitoring for trusted and reliable data.
• Partnering with domain experts and development teams to align data design with business strategy.
• Documenting methodologies, standards, and architecture guidelines.
• Assisting Business Intelligence Engineers with technical hurdles.
• Participating in a shared on-call rotation to monitor system health.

Essential Knowledge, Skills, And Abilities

• 3+ years in data architecture, analysis, modeling, and integration.
• 5+ years in custom ETL design, implementation, and maintenance.
• Advanced knowledge of programming languages like Python and OOP.
• Hands-on experience with SQL database design.
• Experience with Cloud Platforms (AWS or Google).
• Experience with CI/CD and source control tools such as GitHub and GitLab.
• Experience with relational databases like Snowflake and Redshift.
• Knowledge of orchestration tools (preferably AirFlow), storage systems (AWS S3, Google Cloud Storage), and real-time data processing.
• Familiarity with Agile/Scrum methodologies.
• Excellent communication and interpersonal skills.
• Bachelor’s or Master’s Degree in Computer Science, Information Systems, or related field.

Bonus Points

• Experience with reporting tools like Tableau.
• Experience with event streaming tools like Kafka or Kinesis.
• Experience with subscription service products.
• Knowledge of accounting, FP&A, and marketing functions.

Schedule: Monday to Friday, 7:30 or 8:00 AM to 4:00 or 4:30 PM PST.

Compensation: USD 4,500 – 5,000/month.

Location: 100% remote.

If interested, send us your resume!