Senior Data Engineer – Preferably for Women

Job not on LinkedIn

🔥 0 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Sicredi

WebsiteLinkedInAll Job Openings

10,000+ employees

🛡️ Insurance

📦 Logistics

💼 Consulting

Insurance • Logistics • Consulting

Sicredi is a cooperative financial institution based in Brazil that offers a wide range of financial services, including personal and business banking, investments, insurance, and credit solutions. With over 9 million members, Sicredi emphasizes community development by reinvesting resources locally and providing personalized services to its clients. The institution operates more than 2,800 branches nationwide, focusing on a humanized approach to finance and supporting the agribusiness sector alongside individuals and businesses.

📋 Description

• Integrate and automate new data sources into the data lake and data warehouse, ensuring data is accessible and usable. • Create, maintain, and optimize data ingestion pipelines and processes, focusing on quality, performance, sustainability, and cost efficiency. • Develop integrations for highly complex data sources and databases. • Create and maintain data marts, schemas, and tables across the raw, trusted, and refined layers. • Ensure data quality, consistency, security, and governance, supporting data documentation and cataloging. • Translate business rules and needs into data requirements and technical solutions. • Build advanced tables and dashboards to support analysis and insight generation. • Partner with analysts, data scientists, software engineering, and business teams. • Support advanced analytics, predictive modeling, and machine learning initiatives. • Serve as a technical reference, providing mentoring, training, and onboarding support for new team members. • Share knowledge and best practices, contributing to the team’s technical growth and data strategy. • Identify and implement improvements to processes, tools, and methodologies, seeking greater efficiency, quality, and scalability.

🎯 Requirements

• Knowledge of SQL and Python for optimizing complex data-processing workflows. • Proficiency in data modeling techniques for designing efficient data schemas. • Extensive experience with data virtualization tools such as Denodo for federated data access. • Proficiency in Teradata for data warehouse management and large-scale analytics. • Advanced knowledge of Databricks for building and managing big data pipelines. • Leadership skills to drive initiatives and guide team members. • Strategic thinking to architect scalable and efficient data solutions. • Excellent communication and stakeholder-management skills across all levels of the organization. • Ability to navigate complex technical challenges and deliver effective solutions. • Resilience and adaptability to thrive in a dynamic, fast-paced environment. • Strong analytical thinking and advanced problem-solving skills. • Regulatory compliance knowledge (LGPD/GDPR). • Advanced knowledge of modern data architectures.

🏖️ Benefits

• 14th and 15th fixed salary payments • Profit-sharing plan (based on seniority) • Health and dental insurance with no copayments • Well-being programs through Wellhub (formerly Gympass), including nutrition, psychology, workplace exercise, massage, a running group, and a local gym • Food and meal vouchers—with flexible allocation percentages between the food and meal voucher cards and no copayments • Extended maternity and paternity leave • Childcare or nanny assistance for children up to 6 years and 11 months old • Assistance for children with disabilities, with no age limit • Life insurance • Private pension plan with employer contributions of up to 8% of salary • Training platform—Sicredi Aprende—with a variety of courses • 40-hour workweek using a time-banking system • Remote-work allowance (except for positions that are 100% on-site)

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume