Senior/Principal Data Engineer

🔥 5 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.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.

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Design, build, and maintain scalable, secure, and reliable data platforms, pipelines, and data products • Drive architecture discussions related to data modeling, storage strategies, integration patterns, and platform evolution • Take end-to-end ownership of technical solutions and contribute to architectural and engineering decision-making • Develop and implement batch and streaming data solutions using modern cloud-native technologies • Lead platform modernization initiatives and continuous technical improvements • Establish and promote engineering best practices including CI/CD, testing, observability, security, and data quality • Mentor and support Data Engineers through technical guidance, code reviews, and knowledge sharing • Lead onboarding activities for new team members and support their integration into the engineering organization • Collaborate with Product Managers, Software Engineers, Analysts, and business stakeholders to deliver scalable data solutions • Contribute to technical roadmaps and influence engineering direction across teams

🎯 Requirements

• 5–8+ years of experience in Software Engineering, including 3–5+ years of hands-on Data Engineering experience • Upper-Intermediate or higher English level • Strong experience building and operating scalable data platforms and pipelines in cloud environments • Advanced SQL knowledge • Strong understanding of data modeling and data architecture principles • Strong programming skills in Python • Hands-on experience with Apache Spark, Databricks, and Kafka • Experience developing ETL/ELT pipelines and orchestration workflows • Strong AWS cloud experience and knowledge of cloud-native data services • Experience designing modern data warehouse or lakehouse architectures • Strong system design and problem-solving skills • Ability to balance business and technical priorities while making architecture decisions • Experience mentoring engineers and driving engineering best practices • Strong communication and collaboration skills across technical and business teams • Experience with Scala or Java is a plus • Experience with real-time data streaming architectures is a plus • Exposure to large-scale distributed systems is a plus • Experience with observability and data quality frameworks is a plus • Experience contributing to platform modernization programs is a plus • Background in enterprise analytics or machine learning data platforms is a plus

🏖️ Benefits

• Fully remote work opportunity • Opportunities for continuous professional growth • Technical leadership opportunities • Mentoring and team development opportunities • Collaboration with engineering communities • Opportunity to work on impactful products