Senior Data Engineer

November 12

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Unifonic

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Artificial Intelligence • SaaS • Telecommunications

Unifonic is a customer engagement platform powered by artificial intelligence, designed to facilitate personalized omnichannel communication. The company offers a variety of communication channels and applications, including SMS, Voice, WhatsApp, Push Notifications, and Webchat to enhance customer interactions across multiple industries. Unifonic focuses on improving marketing automation, IT and operations, and customer support by providing AI-powered tools and automated workflows, ensuring timely and efficient customer communication. Their solutions cater to industries such as retail, banking, healthcare, and logistics, providing integrations with popular platforms like Salesforce and Shopify. With over 25 billion messages sent and 5,000+ customers, Unifonic provides global connectivity and a seamless customer experience.

501 - 1000 employees

Founded 2006

🤖 Artificial Intelligence

☁️ SaaS

📡 Telecommunications

💰 $125M Series B on 2021-09

📋 Description

• Invest in our "Data Foundation" space to become a data-driven organization. • Provide our business with needed insights about our customers, performance, and future predictions. • Responsible for building the future enterprise Data Lake for Unifonic. • End-to-end data-related capabilities from data ingestion to reporting. • Help establish industry best practices for the data engineering team. • Build the needed capabilities for the organization to become more data-driven. • Evolve our data architecture by determining structural requirements.

🎯 Requirements

• Hands-on 6+ years of experience in Data Engineering and Big Data. • Proven work experience with ETL Development or similar areas. • Advanced knowledge in Database Engines, Data Lakes, Data Practices, and policies. • In-depth understanding of database structure principles, integration, ETL, ELT, data processing, and data management. • Expertise in Data Warehouse & Data Lake technologies. • Such as Vertica, Greenplum, Cloudera framework/ecosystems, Apache Kafka, ApacheNiFi, Apache Spark, Impala, etc). • Hands-on experience with programming languages, such as Python, Java, Scala, and SQL. • Experienced in assembling large, complex data sets that meet functional / non-functional business requirements. • Experienced in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources technologies. • Bachelor’s degree in a related field. • Analytical skills and strong organizational abilities.

🏖️ Benefits

• Competitive salary and bonus. • Unifonic share scheme (we are all owners!). • 30 holiday days after the first anniversary. • Spend up to 10 weeks per year working from anywhere in the world! • Paid leave for new parents. • LinkedIn Learning License.