Data Engineer – Databricks, PySpark

Job not on LinkedIn

🔥 19 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 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.

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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

• Develop and maintain data pipelines for processing large volumes of data in batch and near real-time environments • Work with Databricks, PySpark, and SQL to transform, validate, and optimize data • Support implementation of Data Lakehouse solutions following engineering standards and best practices • Build, test, and automate ETL processes and data workflows • Improve data quality, organization, and reliability across platforms • Collaborate with engineers, analysts, and stakeholders to deliver scalable solutions • Troubleshoot, optimize, and monitor data pipelines • Stay up to date with modern data engineering technologies • Ensure deliverables meet quality standards and project requirements

🎯 Requirements

• 2+ years of experience in Big Data development and database design • Strong hands-on experience with SQL • Strong Python development skills • Hands-on experience with PySpark • Experience developing and maintaining data pipelines in Databricks • Experience with Delta Lake • Experience with Medallion Architecture (Bronze, Silver, Gold layers) • Strong analytical and problem-solving skills • Intermediate or higher English level • Experience with AWS services, including S3 is a plus

🏖️ Benefits

• Employees can work remotely

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