Data Engineer

🔥 10 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 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 and develop scalable and reliable data platforms and/or data pipelines for analytical and operational use cases • Design and implement data processing workflows using distributed processing frameworks such as Apache Spark/pySpark (Databricks) • Contribute to the evolution of the organization’s cloud data platform using Azure technologies, including Azure Data Factory, Synapse, Microsoft Fabric, Databricks, Event Hub, and Azure Data Lake Storage • Integrate and process data from multiple internal and external sources while ensuring data consistency, quality, and reliability • Take ownership of data pipeline reliability, monitoring, and performance • Collaborate with data analysts, data scientists, and engineering teams to translate business and analytical requirements into robust data solutions • Drive improvements in data engineering practices, including pipeline design standards, testing approaches, and operational reliability • Participate in evaluating and introducing new tools and technologies within the data engineering ecosystem

🎯 Requirements

• Strong hands-on experience (4+ years) in data engineering or building data processing platforms • Strong SQL skills and solid experience with Python for building and maintaining data pipelines • Experience working with distributed data processing frameworks such as Apache Spark/pySpark (Databricks experience is a strong advantage) • Practical experience designing and implementing data pipelines in cloud environments, preferably within the Azure ecosystem • Experience designing data pipelines and data models for production-scale analytical systems • Strong understanding of data engineering concepts including ETL/ELT design, dimensional modeling, and data warehousing principles • Experience working with modern data lake architectures and data formats such as Parquet and JSON • Experience with workflow orchestration tools (e.g., Airflow) • Experience with database development and performance optimization • Ability to design scalable and maintainable data solutions with minimal supervision • Strong collaboration and communication skills • Professional working proficiency in English • Experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift • Experience with streaming data technologies (e.g., Event Hub, Kafka, Spark Streaming) • Experience with Delta Lake or other lakehouse technologies • Familiarity with CI/CD practices and Git-based development workflows • Experience working in agile development environments

🏖️ Benefits

• Employees can work remotely