Data Engineer

🕒 April 1

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Logo of Software Technology Inc.

Software Technology Inc.

201 - 500 employees

Founded 2004

🏢 Enterprise

Enterprise • Cloud & Infrastructure Services • Data Analytics

Software Technology Inc. is a comprehensive technology solutions provider offering a wide range of services including digital transformations, application services, human capital management, data analytics, cloud and infrastructure services, and enterprise risk and security solutions. The company specializes in leveraging cloud computing, mobility, IoT, and AI to drive business success through data-driven insights and seamless digital strategies. With a strong focus on quality assurance, the company ensures applications perform optimally in various environments. Additionally, Software Technology Inc. provides digital marketing and risk management services across industries such as financial services, consumer goods, travel and hospitality, healthcare, manufacturing, media and entertainment, and technology. Their services aim to enhance client businesses by integrating cutting-edge technologies and professional expertise.

📋 Description

• Develop and deploy data pipelines for streaming and batch data sources • Create data models and implement business logic using required tools and languages • Collaborate with teams for performance tuning and data processing • Utilize Azure and Spark technologies in daily tasks

🎯 Requirements

• Experience working in Azure Databricks, Apache Spark • Proficient programming in Scala/Python/Java • Experience developing and deploying data pipelines for streaming and batch data sources getting from multiple sources • Experience creating data models and implementing business logic using tools and languages listed • Working knowledge in Kafka, Structured Streaming, DataFrame API, SQL, NoSQL Database • Comfortable with API, Azure Datalake, Git, Notebooks, Spark Cluster, Spark Jobs, Performance tuning • Must have excellent communication skills • Familiarity with Power BI, Delta Lake, Lambda Architecture, Azure Data Factory, Azure Synapse a plus • Telecom domain experience not necessary but really helpful

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