Big Data Engineer

  • Bulevar oslobođenja 1, Novi Sad 21000, Serbia
  • Employees can work remotely
  • Full-time

Company Description

Our client collaborates with high profile clients from multibillion-dollar insurance and financial industry worldwide. Combining innovative ideas and high-level engineering expertise with latest technologies they deliver tomorrow’s enterprise software, AI/Data and R&D solutions today.

Job Description

 

  • Work on a Big Data project, building a data lake for a London, UK based client, one of Europe’s largest asset managers and a major global investor.
  • Create and maintain optimal data pipeline architecture required for extraction, transformation, and loading of data from a wide variety of data sources using SQL and Hadoop ‘big data’ technologies
  • Assemble large, complex data sets that meet functional/non-functional business requirements.
  • Identify, design, and implement internal process improvements including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Explore ways that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, data quality and reliability.
  • Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

Qualifications

 

  • Advanced working SQL knowledge and experience working with relational databases.
  • Understanding in ETL, Data Engineering and Business Intelligence best practices.
  • Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.

Experience using at least one of the following:

  • Big data tools: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases and tools: HDFS, Hive, Impala, HBase, PostgreSQL, MongoDB, etc.
  • Design and implementation of BI solutions (DWH, ETL, monitoring, etc.).
  • Data pipeline, orchestration, validation and workflow management tools: Oozie, Airflow, NiFi, HUE, etc.
  • Stream-processing systems: Storm, Flume, Spark-Streaming, etc.
  • Object-oriented/functional/scripting languages: Python, Java, Scala, Bash, etc.
  • Experience with Fintech or Insurtech is a plus

Additional Information

This is an exciting opportunity to work with a highly innovative and creative team, in a great working environment using the latest technologies, methodologies and frameworks. A competitive salary and benefits package are on offer to the right candidate.