Big Data Developer - Spark/Hadoop/Scala (6-10 yrs)

Job Description :

Skillset : Azure, Scala, Spark, Pyspark, Hadoop, Hive.

Location : Remote / Any Xebia Location.

Experience : 6+ Years.

End Client : Xebia.

Job Title : Data Engineering Developer & Tester.

Role Overview :

- We are looking for a highly experienced Big Data Developer with expertise in Spark, Scala, and SQL.

- The ideal candidate will have strong hands-on experience and a passion for data and data engineering.

- This role involves working with large datasets and building insights via data enrichment, modeling, and visualization dashboards or third-party tools.

Must-Have Skills :

- Proven experience as a Big Data Engineer with a focus on data-driven projects.

- Hands-on experience with Hadoop, Hive, Scala, Druid, and optionally Python.

- Extensive experience with Big Data Lakehouse platforms like Databricks.

- Solid understanding of Big Data platforms, tools, and technologies (e.g, Hadoop ecosystem).

- Experience with large-scale data extraction, enrichment, and export processes.

- Strong knowledge of MapReduce and other big data algorithms.

- Database development expertise, with a deep understanding of relational database design (ODS, DWH).

- Proven track record in peer reviews, unit testing, and deployment to production environments.

- Finance Big Data project experience will be a strong advantage.