Data Engineer

TL;DR

Data Engineer: Participating as a technical expert in presale meetings, migrating customer projects to modern applications, and guiding them on cloud and data best practices with an accent on creating data pipelines and managing them seamlessly. Focus on assisting data scientists and data engineers in developing and deploying robust data solutions.

Company

No company description provided.

What you will do

• Participate as a technical expert in presale meetings with potential customers.
• Demonstrate solutions and ideas to solve customer challenges.
• Migrate customer projects to modern applications and guide them on cloud and data best practices.
• Mentor customers and lead them to the solution that works best for them.
• Assist customers' data scientists and data engineers in creating and managing data pipelines.

Requirements

• At least 4 years as a Data Engineer or in BI development.
• Proven experience as a software/solution architect, Big Data & BI architect, or as a cloud solution architect.
• Experience working on public cloud (Azure, AWS, or GCP).
• Experience working with Databricks.
• Experience working with data tools such as MongoDB, Cassandra, Spark, Hadoop, HDFS, Data Lakes, Elasticsearch, and Cloud Analytics tools.
• Hands-on experience in languages: Scala, Python, Spark SQL.
• Experience in working with open source technologies.
• Experience in planning Data lakes or Data warehouse