Data Engineer – ETL

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🕒 February 7

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Elfonze Technologies

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2020

🏢 Enterprise

☁️ SaaS

🤝 B2B

Enterprise • SaaS • B2B

Elfonze Technologies is a technology services and solutions company that builds and manages enterprise IT systems, specializing in Oracle ERP, supply chain and logistics platforms, and cloud-native infrastructure (IaaS/PaaS). The company provides digital transformation, enterprise applications, master data management, AI-enabled platforms, and niche supply chain planning products and services for B2B customers, along with advisory and build-operate-transfer engagements.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and processing. • Build and optimize data solutions using Azure Data Platform services and Databricks. • Develop data processing frameworks using PySpark and Python for large-scale datasets. • Implement data integration solutions from multiple structured and unstructured data sources. • Create and manage data workflows, orchestration, and automation processes. • Optimize data pipelines for performance, scalability, reliability, and cost efficiency. • Collaborate with business analysts, data scientists, architects, and stakeholders to understand data requirements. • Ensure data quality, governance, security, and compliance standards are maintained. • Perform data modeling, database design, and query optimization. • Troubleshoot production issues and provide ongoing support for data platforms. • Participate in code reviews, testing, and deployment activities following best practices.

🎯 Requirements

• Strong experience in ETL/ELT development and data integration. • Hands-on experience with Azure Cloud Services, including: Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics (preferred), Azure SQL Database. • Strong experience with Azure Databricks. • Proficiency in PySpark for distributed data processing. • Strong programming skills in Python. • Good understanding of relational databases and SQL. • Experience with database concepts including: Data modeling, Schema design, Query optimization, Indexing and performance tuning. • Experience working with large-scale data processing and cloud-based data architectures.

🏖️ Benefits

• Flexible work arrangements