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Unifonic

Senior Data Engineer

Unifonic is hiring a Senior Data Engineer for a remote role open to applicants in Egypt. Level rates it ; you can apply on Unifonic.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
  • This is listed as a remote role.
  • Level classes it as a senior role.
  • Unifonic has 27 other open roles on Level.

AI in this role

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 Senior 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.

Requirements

What you'll bring:

  • 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.

As a Unifone you’ll receive a range of 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.


How we rate this

Senior Data Engineer at Unifonic rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

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Pay

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$150k

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