Oglasi za posao Big Data Engineer

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Big Data Engineer

Synechron SRB d.o.o.

Novi Sad and/or Remote work

10.10.2020.

SQL Java NoSQL Python PostgreSQL Scala Bash MongoDB Kafka intermediate

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

Join us!

Project Context:

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.

Responsibilities:

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

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