Senior Data Engineer designing and maintaining robust and scalable data pipelines at Movida. Collaborating with business areas to transform data into valuable insights for reporting and analytics.
Responsibilities
We are seeking a Senior Data Engineer to join our technology and analytics team.
This professional will be responsible for designing, developing, and maintaining robust and scalable data pipelines, with a focus on producing strategic reports and dashboards.
The role involves integrating multiple data sources — such as Excel, SAP, Oracle, and Google BigQuery — and working closely with business areas to turn data into valuable insights.
Data Pipeline Development: Create and optimize pipelines for data ingestion, transformation, and loading using cloud computing, big data, machine learning, and generative AI technologies.
Integration of Diverse Sources: Lead the integration of data from transactional systems (SAP ECC/S/4HANA, Oracle EBS/Database) and data warehouses into analytical platforms such as Google BigQuery and Fabric OneLake.
Data Modeling: Develop efficient and scalable data models aligned with reporting, dashboards, and advanced analytics needs.
Analytics and Visualization: Translate business requirements into technical solutions, ensuring accurate and up-to-date data for reports and Power BI dashboards.
Quality and Governance: Implement data validation and governance processes to ensure consistency, compliance, and comprehensive technical documentation.
Performance Optimization: Identify and implement technical and operational improvements, with a focus on accounting and financial modeling, and drive analytics initiatives.
Cross-functional Collaboration: Partner with multiple areas across the company to gather requirements and propose innovative solutions.
Requirements
Experience as a Data Engineer with a focus on analytics, reporting, and systems integration.
SAP: Experience extracting and integrating data (ECC, S/4HANA, BW/BPC).
Oracle: Proficiency with Oracle Database, including PL/SQL and query optimization.
Google BigQuery: Experience designing tables, partitioning, clustering, and query optimization.
Languages: Proficiency in SQL and Python for automation and pipeline development.
ETL/ELT Tools: Knowledge of tools such as Apache Airflow, Dataflow, Matillion, DataFactory, Talend, Informatica, among others.
Cloud: Strong experience with Google Cloud Platform (GCP) — Composer, Dataflow, Cloud Storage, Pub/Sub. Knowledge of AWS or Azure is a plus.
Data Modeling: Strong expertise in dimensional modeling (Star Schema, Snowflake) and experience with lakehouse architectures.
Must have easy access to the Mogi das Cruzes region.
Work model: Hybrid
Benefits
Work model: Hybrid — 3 days per week onsite and 2 days remote.
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