Data Engineer (Java/Python) at Sopra Steria

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

0.0

Posted On

09 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Java, Python, AWS S3, Data Engineering, ETL, Data Pipelines, Agile, Data Management, Data Governance, Data Quality, MySQL, Maven, Spring Framework, Jenkins, JIRA, Problem Solving, Analytical Skills

Industry

Information Technology & Services

Description

Company Description About Sopra Steria Sopra Steria, a major Tech player in Europe with 50,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2024, the Group generated revenues of €5.8 billion. The world is how we shape it. Job Description JD in Nutshell: Must Have: Java development (including experience with JDK 8+ preferred) Python AWS S3 Good to have: Experience in Aerospace domain MySQL, Maven, Spring Framework, Jenkins, JIRA Detailed JD: Must Have Minimum 6+ years of experience in Data Engineering or related field with expertise in building and maintaining data models, data pipelines and resolving complex issues related to data engineering. Strong proficiency in Java development (including experience with JDK 8+ preferred) ● High proficiency in Python code development, especially with data-handling activities Experience with AWS S3 Experience in following an agile methodology (SAFe or SCRUM) Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration. Knowledge of all phases of software development including design, coding, testing, debugging, implementation, and support Ability to thoroughly understand the business issues surrounding each project Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues. English: advanced level both verbal and written Good to have Experience with Aerospace domain will be a good advantage Experience with the following technologies: MySQL, Maven, Spring Framework, Jenkins, JIRA Total Experience Expected: 06-08 years Qualifications A Bachelor/ Master Degree in Computer Science, Computer Engineering, Information Technology, or relevant field with 6+ years of software development experience: Additional Information Assignment Review, design and optimize data pipelines for the concerned applications Support the Lead Data Engineer and PO on activities related to Simulation Data Management of Airline Sciences Application comprises Aerospace domain data like - Airport Data, Navigation data, Demand and Cost data, etc. Proactively work on Identifying and resolving bottlenecks to enhance data retrieval speed and overall system efficiency. Build and support data pipelines to ingest data from various sources such as databases, APIs, etc. Integrating and transforming data to ensure its compatibility with the target data model or format. Ability to work under Agile and Scrum development methodologies Uses technical knowledge, creativity and company practices and priorities to obtain solutions to complex problems. At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences. All of our positions are open to people with disabilities.

Responsibilities

The Data Engineer will review, design, and optimize data pipelines for applications related to Simulation Data Management in the Aerospace domain. They will also support the Lead Data Engineer in identifying and resolving bottlenecks to enhance data retrieval speed and overall system efficiency.