Job Details

ID #31888694
State Texas
City Irving
Job type Contract
Salary USD TBD TBD
Source TSR Consulting Services, Inc.
Showed 2022-01-17
Date 2022-01-16
Deadline 2022-03-17
Category Web/HTML/info design
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Senior Spark / Big Data Developer

Texas, Irving, 75063 Irving USA

Vacancy expired!

Our client, a leading financial services company is hiring a Senior Spark / Big Data Developer on a long-term contract basis.

Work Location: Irving, TX

Summary:
  • The Internal Audit Innovation Technology Team is seeking a highly motivated and strong hands-on Senior Spark / Big Data Developer to expand the existing global team. The team is responsible for developing an integrated suite of innovative analytic solutions and services as part of the Audit Analytics platform. The platform serves the global Internal Audit organization and leverages cutting edge technologies in the areas of web-based data visualization and analytic processing using machine learning, big data, and high-performance distributed processing to empower auditors with greater interrogation and detection capabilities for various businesses and processes to provide data-driven insights. The successful candidate should have proven application development experience, strong analytical skills, technical depth, and excellent written and verbal communication skills.
  • Looking for a Big Data Developer that has experience with putting solutions into production and/or into web applications.
  • Must have Lead experience.
  • Must have experience with Spark Framework.
  • Ideal candidate is someone that was a Java or Python Developer that moved into big data, versus a database admin who moved into big data.
  • This role requires experience on how to build applications using Big Data.
  • Design, develop and deploy Analytical and Business Intelligence solutions using Apache Spark framework along with other Big Data technologies - Hadoop, Hive, Spark (Java/Python), Kafka and other open source technologies.
  • Partner with business representatives, business analysts, data scientists, developers, and DBAs to deliver comprehensive business-facing analytics solutions.
  • Implement data analytics solutions on big data batch and stream processing frameworks (e.g., Spark Structured Streaming, Kafka, etc.).
  • Develop Spark jobs using Java or Python from scratch using Spark APIs for effective distributed analytic processing for solving business challenges.
  • Develop, design, and implement RESTful APIs to expose data or integrate with other internal applications or external web services.
  • Develop data sourcing and ingestion pipelines from diverse sources, large scale structured and unstructured data to support business needs.
  • Develop pipelines for machine learning model building, training and scoring.
  • Develop data processing and analytics pipelines that feed data visualization and reporting solutions.

Required Skills:
  • 8+ years of application development experience with Java or Python in a hands-on technical leadership role working with distributed teams.
  • Extensive experience developing data-centric solutions with Apache Spark framework with big data technologies, distributed computing and relational databases required - Spark (Java/Python), Hadoop, Hive, Impala, SQOOP, Oozie, YARN and Oracle.
  • Experience with high performance messaging and streaming frameworks such as, Apache Kafka stream and Spark streaming preferred.
  • Expert knowledge of Core Java, JEE, Spring, Spring Batch, Hibernate. Familiarity with Spring MVC, RESTful Web services a plus.
  • Familiarity with Web/Application Servers, Cloud, Container and Virtualization Technologies
  • Experience with source code management tools such as Git/Bitbucket
  • Knowledge or experience with Artificial Intelligence/Machine Learning technologies (Python, Spark MLlib) a plus.
  • Familiarity with Business Intelligence and Data Visualization (MicroStrategy, Arcadia, Tabeleau or PowerBI) a plus.
Education:
  • Bachelor's Degree in Computer Science, Information Technology, Engineering or similar
  • Apply Now
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