Junior Data Engineer, Azure Databricks

🔥 0 minutes ago

🌐 India, Poland – Remote

🇮🇳 India – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟢 Junior

☁️ Cloud Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 25%

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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Miratech

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1989

🤝 B2B

💼 Consulting

☁️ SaaS

💰 Private Equity Round on 2022-04

B2B • Consulting • SaaS

Miratech is a global IT services and consulting company dedicated to helping visionaries change the world. Specializing in outsourcing, software development, and professional services, Miratech supports digital transformation for some of the largest enterprises worldwide. By combining enterprise and start-up innovation, Miratech remains at the forefront of technology while maintaining agility and a culture of relentless performance that has led to high engagement success since its founding in 1989.

📋 Description

• Support and evolve existing SQL Server data platforms and ETL solutions • Develop and maintain data pipelines using Azure Databricks • Build and optimize data transformations using PySpark and SQL in Databricks • Develop ETL/ELT pipelines orchestrated through Azure Data Factory • Integrate data from multiple sources into the data platform and analytical layers • Maintain data models and data warehouse structures for analytics • Ensure data quality, scalability, and performance of large-scale data processing pipelines • Collaborate with BI teams to support Power BI and reporting platforms • Participate in implementing modern cloud-based data architectures under guidance from senior team members

🎯 Requirements

• 2+ years of experience in Data Engineering, Data Warehouse development, or a related field • Experience with Azure Databricks • Experience developing data pipelines using PySpark and Spark SQL • Understanding of distributed data processing and big data concepts • Good SQL skills and experience with SQL Server relational databases • Experience building data pipelines using Azure Data Factory • Exposure to data processing and performance optimization concepts • Nice to have: Knowledge of Spark optimization techniques, including partitioning, caching, and cluster tuning • Nice to have: Familiarity with Power BI and Databricks Structured Streaming • Nice to have: Experience migrating traditional ETL processes to cloud architectures • Nice to have: Familiarity with Delta Lake and Lakehouse architectures • Strong analytical and problem-solving skills • Good communication and collaboration skills • Team player with a proactive mindset • Eagerness to learn and continuously develop technical expertise • Adaptability and comfort working in dynamic environments

🏖️ Benefits

• Comprehensive compensation and benefits package • Health insurance • Language courses • Relocation program • Flexible remote work • Professional development opportunities • Certification programs • Mentorship and talent investment programs • Internal mobility opportunities • Internship opportunities • Impactful projects for top global clients • Inclusive and supportive work environment • Regular team-building company social events