Ness Digital Engineering (501+ Employees, 2 Yr Employee Growth Rate)

1-Year Employee Growth Rate | 2-Year Employee Growth Rate | LinkedIn | $0 Venture Funding

What Is Employee Growth Rate & Why Is It Important?


Risk Focus, a Ness Company, provides strategic IT consulting to global enterprises. Our DevOps and Infrastructure practice provides solutions, methodologies, and strategic guidance for digital transformation, containerization, and automation. Our Financial Services team offers strong domain expertise and technology acumen to deliver feature-focused solutions in Capital Markets.

We solve complex business problems with technology and insight. Our business domain knowledge, technology expertise, and Agile delivery process have delivered seamless Digital Transformations at some of the largest customers globally. We’re an AWS Advanced Consulting Partner, a Premier Confluent Systems Integrator and a Snowflake Select Services Partner.

As a Data Engineer you will:

  • Serve as an expert technologist in implementing ETL data pipelines, streaming data solutions, data lakes and data warehouses
  • Work on the architecture, design, implementation, and testing of advanced data solutions for Ness clients
  • Exhibit expertise in data modeling, data warehouses, data lakes, and building ETL data pipelines
  • Modernize our clients’ data platforms, transitioning to cloud-hosted solutions using AWS, Azure, GCP, and Snowflake


  • Strong relational database skills including SQL, data modeling, and
  • Experience using ETL / ELT tools such as EMR, Fivetran, Informatica
  • Experience with data collection, data cleansing, and ETL processes
  • UNIX/Linux skills including shell scripts and basic system administration
  • Programming skills using modern programming languages like Python, Java, or JavaScript
  • Cloud experience strongly preferred using AWS (Redshift, RDS, EMR, Glue) or Azure (Synapse Analytics, Azure SQL)
  • Experience with data visualization tools such as PowerBI or Tableau
  • Excellent verbal and written communication skills
  • Ability to manage multiple projects simultaneously

Additional Desired Skills:

  • Programming languages including Java, Scala, C++, C#, JavaScript, R
  • Experience with software test automation
  • Data warehouse technologies such as Snowflake, AWS Redshift, and/or Azure Synapse Analytics
  • Experience with AWS ML technologies such as SageMaker
  • Experience with big data analytics tools such as Spark or DataBricks
  • Experience with streaming data analytics, Kafka, and/or Kinesis Streams

Education and Certification Requirements:

  • An undergraduate degree is usually required, preferably in a STEM discipline.
  • AWS or Azure certifications desirable (Solution Architect, Machine Learning or Big Data specialty certification
  • Snowflake SnowPro certification desirable


  • Flexible work environment with a globally distributed team
  • Competitive compensation packages including performance bonuses
  • Paid vacation and sick time off
  • Employer-subsidized medical, dental, and vision insurance
  • Company-paid short- and long-term disability insurance
  • A culture of cooperation and support
  • Continual professional and personal development through employer-paid training and certifications

Tagged as: 501+ Employees, Hide US-Only Jobs

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