Java Spark L2Data, Analytics and Artificial Intelligence

extra holidays - extra parental leave
Work set-up: 
Full Remote
Contract: 
Freelance
Experience: 
Senior (5-10 years)
Work from: 
Anywhere

Offer summary

Qualifications:

Strong proficiency in Java 8/11+ with multithreading and performance optimization., Experience in developing Spark jobs using Java or Scala for batch and streaming data processing., Hands-on knowledge of the Big Data ecosystem including Hadoop, HDFS, Hive, and HBase., Familiarity with AI/ML models integration within data pipelines..

Key responsibilities:

  • Developing and optimizing big data pipelines using Spark and Java.
  • Collaborating with cross-functional teams to deliver AI-driven analytics solutions.
  • Managing ETL workflows with performance tuning and data format handling.
  • Working with cloud platforms like AWS, Azure, or GCP for big data services.

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Overture Rede TPE https://www.overturerede.com/
11 - 50 Employees
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Job description

This is a remote position.

Java Spark L2 Engineer – Data, Analytics & AI
Job Type: Freelance
Mode: Remote
Duration: Project Based
Experience: 10+Years

Job Role

We are seeking a passionate and experienced Java Spark L2 Engineer to join our dynamic Data, Analytics, and AI team. The ideal candidate will be responsible for developing and optimizing big data pipelines and collaborating with crossfunctional teams to deliver scalable AIdriven analytics solutions.


Key Skills Required
Java 811+ – Strong core Java skills with multithreading, collections, and performance optimization.
Apache Spark – Proficient in writing Spark jobs using JavaScala for batch and streaming data processing.
Big Data Ecosystem – Handson experience with Hadoop, HDFS, Hive, and HBase.
AIML Concepts – Familiarity with AIML models integration within data pipelines.
ETLData Pipelines – Building and managing ETL workflows with performance tuning.
Cloud Platforms – Exposure to AWS, Azure, or GCP big data services (like EMR, Dataproc).
Data Formats – Parquet, Avro, JSON, and ORC.
Analytics Tools – Basic knowledge of BI tools like Tableau or Power BI is a plus.
CICD & Git – Strong understanding of version control and CICD pipelines.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Hard Skills

Java (Programming Language)AI/ML InferenceApache SparkGit (Version Control System)Cloud ComputingCI/CDBusiness Intelligence ToolsData EncodingETL (Extract Transform Load)Data Architecture
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