Senior Big Data Engineer (T5)

Job ID 5627

Why Ness

We know that people are our greatest asset. Our staff’s professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You’ll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.

You’ll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities, and attractive compensation.

Requirements and responsibilities

We are looking for a self-motivated, enthusiastic, and passionate software engineer to develop technology solutions for the Ness marketplace product.

The ideal candidate thrives in a highly technical role and will design and develop software using cutting-edge web applications, data pipelines, big data, machine learning, and multi-cloud technologies.

The development is already underway, so the candidate would be expected to get up to speed quickly and start contributing.

You will enable Ness business to showcase our proprietary Ness data, combine it with “curated” alternative data, further enrich it with value-add services from Kenshoo and others, and deliver it via the clients’ channel of choice to help them make better investment and business decisions, with confidence.

What you can expect: An unmatched experience in handling huge volumes of data, analytics, visualization, and services over cloud technologies along with appreciation in product development life cycle to convert an idea into revenue generating stream.

What you'll do

• Design & Build ingestion pipelines using ELT and schema on read in Databricks Delta lake;
• Design & Develop “Transformations” aspects using ELT framework to modernize the Ingestion pipelines and build data transformations at scale;
• Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python, and Spark;
• Build and maintain a data environment for speed, accuracy, consistency, and "up" time;
• Work closely with other data teams & Data Science team and participate in the development of Ingestion pipelines;
• Ensure data governance principles are adopted, data quality checks and data lineage are implemented in each hop of the data;
• Be in tune with emerging trends Big data and cloud technologies and participate in the evaluation of new technologies;
• Ensure compliance through adopting enterprise standards and promoting best practices/guiding principles aligned with organization standards.

What you'll bring

• A minimum of 8+ years of significant experience in application development;
  
• Previous experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python, and Spark;
• Development, design, and architecture exposure & the ability to ensure quality across various technology components that are developed by geographically diversified software engineers with superior knowledge of system architecture, object-oriented design, and design patterns;
  
• Proficient with software development lifecycle (SDLC) methodologies like Agile and test-driven development;
  
• Experience working with high-volume data and computationally intensive systems;
  
• Garbage collection friendly programming experience - tuning Java garbage collection & performance is a must;
  
• Proficiency in the development environment, including IDE, web & application server, GIT, Continuous Integration, unit-testing tools, and defect management tools Domain knowledge in the Financial Industry and Capital Markets is a plus;