Hybrid Data Engineering Specialist

Posted 13 hours ago

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About the role

  • Data Engineer at Logcomex, developing robust data pipelines and ensuring data quality for trade solutions. Collaborating with various teams to optimize data governance and performance.

Responsibilities

  • Develop and maintain robust, scalable, and testable data pipelines using PySpark and Airflow.
  • Design and implement data ingestion and transformation processes to populate the data lake using a layered architecture (Bronze, Silver, Gold).
  • Work on data quality control, documentation, and lineage management using OpenMetadata.
  • Collaborate with product and capture squads to ensure data consistency and coverage.
  • Ensure data governance, versioning, and auditing of production pipelines.
  • Optimize ETL/ELT routines and query performance in relational databases, data warehouses, and engines such as Elasticsearch and Athena.

Requirements

  • We are looking for people with knowledge in...
  • PySpark
  • Apache Airflow
  • AWS S3, Glue, Athena, EC2
  • SQL (Athena, PostgreSQL)
  • Elasticsearch/OpenSearch
  • Docker
  • Pandas
  • Jupyter
  • Unix (Linux), Bash
  • DBT
  • Nice to have:
  • Glue
  • Delta Lake
  • Kubernetes
  • NoSQL
  • Elasticsearch
  • Airbyte

Benefits

  • Swile benefits card with a fixed monthly value of R$2,540.00 (food, mobility, multi-balance, and home office allowance);
  • National health plan (Unimed or Amil);
  • Dental plan (Odontoprev);
  • Life insurance (MetLife);
  • TotalPass;
  • Starbem (health services platform for your physical, mental, and emotional well-being);
  • Pharmacy discount program with Panvel;
  • Extended maternity and paternity leave through the Empresa Cidadã program;
  • Subsidy for professional development in partnership with Unico Skill, offering various options for undergraduate, postgraduate, language courses, mentorships, etc.;
  • Private English lessons for leadership and specialists level II and above;
  • School/Education assistance;
  • Fresh fruit, cookies, coffee, tea, and energy drinks available at any time;
  • Celebrations, integration events, and team building activities;
  • Partnership with KÜK Station to provide the best for our Loggers on office days;
  • In-company massage;
  • Birthday day-off;
  • Birthday gift;
  • Service anniversary gifts;
  • Recruta Loggers (employee referral program with bonuses).

Job title

Data Engineering Specialist

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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