Data Engineer - Platform & Pipelines

Halliburton; Rio de Janeiro; Presencial; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A leading global energy service provider is seeking a Data Engineer in Rio de Janeiro. The role involves transforming chaotic data into structured assets using Airflow and Databricks. Candidates should have over 3 years of experience and strong SQL and Python skills. You will develop data pipelines, ensure data quality, and implement a Medallion Architecture. This full-time position offers competitive compensation based on experience.

Qualificações

• Strong proficiency in Apache Airflow and Databricks.
• Experience implementing Medallion/Delta Lake architectures.
• Advanced SQL and Python skills.

Responsabilidades

• Develop and maintain robust Airflow DAGs for data transformations.
• Implement comprehensive data validation checks.
• Manage code deployment to on-prem and cloud infrastructure.

Conhecimentos

Data organization

Quality assurance

Modular code writing

Advanced English communication

Formação académica

3+ years of experience in Data Engineering

Ferramentas

Apache Airflow

Databricks

Python

SQL

Descrição da oferta de emprego

We are looking for the right people — people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world’s largest providers of products and services to the global energy industry.

Job Duties

We are implementing a strict Medallion Architecture to organize petabytes of industrial data. This role is for a Data Engineer who excels at transforming raw chaos into structured, queryable assets.

You will build and maintain the ELT pipelines that move data from 'Bronze' (Raw) to 'Silver' (Cleaned) and 'Gold' (Aggregated). You will work with Delta Lake (On-prem/Databricks), Polars and Airflow to ensure data quality and availability for Data Scientists and the Knowledge Graph.

What You’ll Do

• Pipeline Development: Develop and maintain robust Airflow DAGs to orchestrate complex data transformations.
• Data Transformation: Use Spark (when scale requires) and Polars to clean, enrich, and aggregate data according to business logic.
• Architecture Implementation: Enforce the Medallion Architecture patterns, ensuring clear separation of concerns between data layers.
• Performance Tuning: Optimize processing workflows (Polars/Spark) jobs and SQL queries to reduce costs and execution time; make intelligent decisions on when to use Polars vs. Spark.
• Deployment & Operations: Manage code deployment to on-prem and cloud infrastructure, including containerization and environment configuration.
• Data Quality: Implement comprehensive data validation checks and quality gates between medallion layers.
• Data Cataloging: Maintain the metadata and catalog entries to ensure all data assets are discoverable and documented.

The Technology Stack

• Orchestration: Apache Airflow.
• Data Processing: Polars (primary for ETL), PySpark/SQL (for massive scale)
• Compute: Single-node workers (Polars), Databricks/Spark clusters (when scale requires)
• Storage: Delta Lake, Parquet, S3/Blob Storage, MinIO
• Language: Python 3.12+ (w/ Polars), SQL.

Qualifications

• The Structured Thinker: You love organizing data. You understand the importance of schemas, data typing, and normalization.
• Quality Obsessive: You don't just move data; you test it. You implement checks to ensure no bad data reaches the Gold layer.
• Pipeline Builder: You view data engineering as software engineering. You write modular, reusable code for your transformations.

Knowledge, Skills, and Abilities

Must Haves:

• 3+ years of experience in Data Engineering.
• Strong proficiency in Apache Airflow and Databricks.
• Experience implementing Medallion/Delta Lake architectures.
• Strong SQL and Python skills.
• Advanced English communication skills.

Good to Have:

• Experience with Unity Catalog or other governance tools.
• Familiarity with dbt (data build tool).
• Background in processing telemetry or sensor data.

Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Location

Rua Paulo Emidio Barbosa 485 Q,Rio de Janeiro,Rio de Janeiro,291941, Brazil

Job Details

Requisition Number:205556

Experience Level:Entry-Level

Job Family:Engineering/Science/Technology

Product Service Line:Landmark Software & Services

Full Time / Part Time:Full-time

Additional Locations for this position:

Compensation Information

Compensation is competitive and commensurate with experience.