Data Engineer

🕒 July 31

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 27%

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.

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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, develop, and maintain scalable ETL/ELT pipelines • Build and optimize data processing solutions using Python and Apache Spark • Develop and support real-time data streaming applications using Kafka • Design and implement enterprise data solutions leveraging Snowflake • Build cloud-native data architectures and services on AWS • Ensure data quality, reliability, scalability, and performance across the data ecosystem • Troubleshoot, monitor, and optimize production data pipelines • Participate in technical discussions, code reviews, and engineering best practice initiatives • Collaborate with cross-functional teams to support data-driven business initiatives

🎯 Requirements

• 4+ years of professional experience as a Data Engineer • Strong experience with Python development • Hands-on experience with Apache Spark • Strong knowledge of Snowflake • Experience building and maintaining ETL/ELT pipelines • Experience with Apache Kafka and event-driven architectures • Experience working with AWS cloud services • Understanding of data modeling and data warehousing concepts • Strong analytical, problem-solving, and communication skills • Ability to work effectively in distributed teams • Upper-Intermediate English level or higher

🏖️ Benefits

• remote work options • professional growth opportunities

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