Lead Data Engineer

Proudly voted a Great Place to Work®, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!

Meet the Team!

Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.

As a Lead Data Engineer, you will invest in our "Data Foundation" space to become a data-driven organization and to provide our business with needed insights about our customers, performance, and future predictions. In this role, you will be responsible for building the future enterprise Data Lake for Unifonic, end-to-end data-related capabilities from data ingestion to reporting.

Help us shape the future of communication by:

• Helping to establish industry best practices for the data engineering team, by building the needed capabilities for the organization to become more data-driven.

• Evolving our data architecture by determining structural requirements; developing and installing solutions.

• Building upon existing data lakes & data warehouses based on structural requirements and in-depth analysis.

• Testing and maintaining those databases to ensure their longevity and overall efficiency.

What you'll bring:

• Hands-on 8+ 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.