Data Engineer

commencis career

Join us as we pave the way for a thriving digital society. We are Commencis!

Commencis helps leading brands grow and scale in digital, powered by its big data, analytics and cloud products.

Bringing together more than 20 years of experience in the world of digital, design and technology, we transform businesses to thrive and stay relevant in a demanding digital world.

We enable our clients to design and build digital experiences, create stronger and more meaningful relationships with their customers, and bring agility and scalability to their businesses. We love to discover what’s next. We love creating  new ways for the digital society to interact. Our workplace values collaboration and curiosity with an open mindset. If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!

At Commencis, we’re passionate about creating purposeful products/solutions. And now we are looking for passionate Data Engineers to join our team to participate in projects all over the world to transform institutions’ use of data and technology.

Leveraging ground-breaking technical solutions including but not limited to our partner’s (a leading data company) products, open source technologies, our teams build to drive real impact by accommodating all aspects of clients’ problems.

By communicating effectively with stakeholders throughout projects, Data Engineers provide underlying infrastructure, ensure application of the correct business logic and translation of raw data into analysis ready datasets through various computing methods.

The focus of a Data Engineer’s daily work is ingesting new data sources, building data pipelines by writing transformations and deriving new datasets for both new and known data sources.

If you are willing and interested to work on data and drive value, feel comfortable learning on the job, have outstanding communication skills and love taking a goal and deliver on it, keep reading…

Requirements

    • BSc/MSc/PhD degree in Computer Science, Software Engineering or a related field
    • 2+ year of experience as a developer or data scientist/engineer; ingesting and transforming structured and unstructured data from internal and third party sources into dimensional models.
    • Experience in one or more general-purpose object oriented programming languages
    • SQL, Python and Pyspark proficiency
    • Hands-on experience using Hadoop, Hive, Vertica or another MPP database system like AWS Redshift or Teradata.
    • Familiarity with relational and non-relational databases, key-value stores and search engines (MySQL, Oracle, Microsoft SQL Server, MongoDB, Redis, Elasticsearch etc.)
    • Experience with industry-standard build tooling, including Github
    • Git-workflow proficiency
    • Passion for Big (Petabytes worth) Data
    • Data Science, Machine Learning or AI knowledge (nice to have)
    • Hands on experience with Apache stack – Spark, Kafka, Hadoop (nice to have)