Data Engineer (MAD)
We are looking for software engineers with one to three years of experience and a passion for data.
We expect our data engineers to keep learning new technologies, architectural patterns,
programming languages and machine learning algorithms. They will work with data scientists and
are comfortable speaking their language. We are looking for professionals who are enthusiastic
about innovation in software engineering and are not afraid to contribute to open-source projects
and present their work at technical meetups.
As we help our clients to target, measure and improve mission-critical business metrics and generate
demonstrable return on investment, our data engineers enjoy a high level of responsibility and
immediate client interactions. In addition to technical excellence, our engineers are great
communicators equipped with the presentation skills to operate at executive level.
Above all, our engineers are curious about the big picture and passionate about bringing data to life!
Together with data science and data analytics team we make our customers happy. We design and
build data warehouse and data lakes for processing large amounts of data, integrate applications,
maintain ML pipelines, help data science team with experiments.
Our technology stacks
We use Azure, AWS and Google cloud services. In most of the cases we build big data of fast data-
oriented solutions, by this reason, we use Kinesis, Lake Formation, Athena, Redshift, Glue, Azure
Functions, Events Hub, Data Factory, SageMaker, BigQuery, BigTable, DataFlow etc.
For on premise solutions, we use Hadoop stack, ELK stack, Postgres, SQL Server, Kafka, NoSQL
solutions like Cassandra, Redis, Aerospike etc.
We prefer to build applications on Python, occasionally Scala or R.