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Senior Data Engineer

Job not on LinkedIn

November 26

🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of Tecla T

Tecla T

B2B • Recruitment

Tecla T is an IT outsourcing and staffing firm that selects and allocates technology professionals for companies worldwide. The company supplies talent across backend, frontend, mobile, automated testing, QA, DevOps, design and management, and supports projects on three continents (Oceania, Europe and the Americas). Tecla T emphasizes high customer and employee satisfaction, low turnover, and global delivery of IT teams and projects.

51 - 200 employees

🤝 B2B

🎯 Recruiter

đź“‹ Description

• Work on building an integrated financial data platform. • Map and refine data sources. • Identify and document current sources (KMM, Rodopar). • Assess granularity, format, and quality of available data. • Build a data dictionary and a glossary of financial metrics. • Create automated ingestion pipelines (ETL/ELT). • Process data with cleaning, standardization, and enrichment. • Model financial data (staging, processing, and cube layers). • Define the logical model of the semantic layer (facts, dimensions, and hierarchies). • Normalize and standardize naming conventions to ensure consistency. • Build fact layers with appropriate granularity.

🎯 Requirements

• 5+ years of experience in Data Engineering. • Proven experience building ETL/ELT ingestion pipelines. • Experience with financial data projects (facts, metrics, granularity, rules). • Strong advanced SQL skills and experience handling large volumes of data. • Experience with data processing languages (Python, Scala, or similar). • Experience with data modeling: staging, processing, and consumption layers. • Building facts and dimensions. • Defining granularity, hierarchies, and business rules. • Experience with ingestion and orchestration tools (e.g., Airflow, Databricks, ADF, Glue, or similar). • Knowledge of relational databases and data warehouses (Snowflake, Redshift, BigQuery, among others). • Ability to standardize naming, metrics, rules, and technical glossary. • Experience with data governance and cataloging. • Knowledge of CI/CD, versioning, and engineering best practices. • Experience with distributed architectures, data lakes, and Data Mesh.

🏖️ Benefits

• ECXPAY card of R$ 500.00/month; • Access to Wellhub; • Zenklub partnership - Psychologist / Nutritionist / Coaching / Therapy; • Partnership with Mediquo - telemedicine platform; • 22 days of paid leave after 12 months; • Partnership with Time Load language course; • Partnership with Bridges clinic (Fortaleza/CE).

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