Sr Data Engineer With Java And Scala Jobs

For the education requirements, we’re looking to hire someone with a Degree in Computer/Software Engineering.

Sr. Software engineer with 7+ years of experience in Java, SpringBoot microservices.

Solid experience with Jenkins, Docker/Kubernetes on Cloud (Azure or AWS)

Good hands-on experience with Relational databases (like Microsoft SQL Server), by tuning SQL queries and analyzing query plans

Solid experience writing RESTful API endpoints

Significant experience building and working with systems processing large amounts of data in Real Time or Near Real Time.

Experience deploying applications in cloud is a plus, though not a requirement

At least 3 years of professional software development/engineering experience

Java, Scala or Go language experience

Unlimited PTO and a requirement of 3 weeks to take, minimum

Bachelor’s Degree in computer science/engineering or equivalent

80% Scala and/or Go, and related tools and technologies

Developer with strong technical ability with 6-9 years of experience in Java/J2EE design and development of micro services using Akka framework.

Experienced in working on medium to large enterprise projects, preferably in financial services.

Experience with developing software that processes, persists and distributes data via relational and non-relational technologies.

Experience with developing software that processes, persists and distributes data via relational and non-relational technologies:

Experience in design and development of micro services using Akka framework.

Knowledge of Akka framework – Akka HTTP, Akka Streaming, Alpakka

Work closely with business partners in defining requirements and ensuring acceptance criteria is met for application changes.

In-depth knowledge of development tools and languages is a must.

Strong coding, debugging, and analytical skills

Responsible for leading a technology team, hands on development, enhancing, modifying and/or maintaining applications.

Software developers design, code, test, debug and document programs/activities.

Ability to partner with the multiple Technology teams to implement the target architecture and migration to strategic platform.

Able to resolves integration issues to guarantee solution conformance to requirements and engineering limitations.

Document data sources, data structures, data flows, and data infrastructure to share knowledge and understanding of the solutions being implemented.

Expert in Object Oriented, Service Oriented design and technical implementations

Design and build data structures, data pipelines, and data infrastructure leveraging the variety of sources across the organization.

Should be experienced in debugging the issues and able to write effective unit tests with strong OOP skills.

Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)

Other perks and wellness benefits like discount programs, and gym/studio access.

Tuition assistance and weekly hot skill development opportunities

Extensive application development experience including Java & Scala with ability to write efficient ETL pipeline code.

Hands-on experience in data warehouse design, data visualization and data pipeline design and development.

Hands on experience in Java

Hands on experience in Scala

Hands on experience in Spark

Hands on experience in Python

Hands on experience in SQL

Mentor and guide junior developers, fostering a collaborative and knowledge-sharing environment.

Extensive experience in developing and maintaining applications using Spark and Scala for big data processing and analytics.

Solid understanding of distributed computing concepts and experience with large-scale data processing frameworks like Hadoop or Spark.

Proficiency in SQL and experience working with relational databases like MySQL or PostgreSQL.

Experience with version control systems like Git and proficiency in using build tools like Maven or Gradle.

Strong problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.

Primarily Java Experience, CI/CD pipeline, Unix scripting Knowledge. Caching tech (Gemfire/redis) experience

Experience in working on multiple technologies and medium to complex systems, well versed with design standards & framework

Experience in Spring Framework, Spring Integration, and persistence frameworks like JPA, Hibernate.

Experience in Spring batch, Spring MVC and Microservices.

Experience working with Spark and Scala.

Excellent knowledge of Relational Databases, SQL and ORM technologies (JPA2, Hibernate)

Participate in Data curation requirements and support Data and Digital needs of business and technology stakeholders

4+ years of hands on experience in data engineering and technologies:

Strong knowledge of algorithms and data structures.

Master’s degree in Computer science or equivalent experience

Experience working in agile/SaFe environment

A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

Looking for only locals - Flexible to PST time zone - 100% Remote only for locals

Sound experience on C#& .net Development

5+ years of experience in data science or a related field

Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks

Experience with big data technologies, such as Hadoop or Spark, is a plus

Strong problem-solving skills and the ability to work independently or as part of a team

Engage and collaborate with management, team members and quality assurance as appropriate to ensure high quality deliverables.

Maintain high level of functional and technical product knowledge

You have excellent knowledge of Hibernate or any equivalent ORM tool.

You have working knowledge of mySQL databases

Experience with micro services and service-based architecture, REST, JSON, XML, GraphSQL and/or SOAP

Refactor monolithic application by separating out View Layer

Sound experience on C#& .net Development

5+ years of experience in data science or a related field

Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks

Experience with big data technologies, such as Hadoop or Spark, is a plus

Strong problem-solving skills and the ability to work independently or as part of a team

Data Engineer with C# and . NET Development is must

- 10+ years recent relevant business/industry experience with data/account management functions for an institutional client base

- Knowledge of Risk Credit Management

Nice to have: Project management and consulting

- Familiarity with Client entity hierarchies and related data management processes

- Ability to enhance own skills and build knowledge in all aspects of the business

Track and Report status updates to key stakeholders including CMG Management, Compliance and Front Office.

Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools

Strong Java/.NET Core skills with experience in development of concurrent and distributed systems

Experience writing SQL queries and good understanding of data model, python knowledge is a plus.

A minimum of 5+ years of significant experience in application development.

Superior knowledge of system architecture, object-oriented design, and design patterns.

Domain knowledge in Financial Industry and Capital Markets is a plus.

Collaborate with developers, devops, data scientists, QA and product management throughout the development cycle in an Agile environment

Bring knowledge of best practices for software development

7+ years of experience writing production code in Java

3+ years of experience with a leading cloud vendor like GCP or AWS

Advanced scripting experience with Python and/or Bash

Experience working in a Linux environment

Strong project management skills and leadership abilities.

Excellent organizational and time management skills.

Minimum 5 years' experience performing Application/Manufacturing Engineering/program management within the automotive industry.

Perform project portfolio management, analysis, and executive reporting.

Facilitate assembly line trials & activities with plant VAVE Champion/program managers to achieve VAVE engineering and corporate goals.

Self-motivated with good organizational and problem-solving skills

Build and maintain the master data management service to act as a single source of truth for entity resolution

The experience. 4+ years in a Senior Data Engineer capacity.

Experience building online SaaS software applications and services 

Experience with complex data systems and large data sets 

Design and implement improvements to data structures or adding new features as needed to support changing business requirements

Experience working with any Cloud system like AWS, Azure, GCP. 

Experience or knowledge building REST Web Services

Experience or knowledge Design & Developing application on Apache Spark Platform

Experience or knowledge with Azure Databricks

Experience or knowledge with Snowflake

Experience or knowledge in cloud technologies and microservice architecture

Junior required experience 0-3 years.