Senior PySpark Data Engineer

2 Months ago • 7 Years + • Data Analyst • Undisclosed

About the job

Job Description

This Senior PySpark Data Engineer role involves collaborating with business SMEs to implement data validation rules, understanding business requirements and data flow, working with PySpark-based data platforms (Databricks, Cloudera, Apache Spark), and contributing to the data platform lifecycle (design documents, unit tests, code reviews). The ideal candidate will possess advanced SQL, Python, and PySpark skills, along with experience in Azure data/delta lake, Azure DevOps, CI/CD, and Git. The position requires strong analytical skills, understanding of data lake houses and business intelligence architecture, and excellent communication skills. Experience in an Agile environment is a plus. This role is remote based in Serbia and is part of a team working on projects in the Middle East.
Must have:
  • 7+ years relevant experience
  • Proficient in PySpark (3+ years)
  • Proficiency in Python & PySpark (5+ years)
  • Advanced SQL knowledge (5+ years)
  • Azure data/delta lake, Azure DevOps, CI/CD, Git
  • Data platform lifecycle understanding
  • Data analysis and understanding
Good to have:
  • Knowledge of financial markets
  • Agile environment experience (Scrum)
  • Knowledge of portfolio theory and risk management
Project description

We are hiring for projects in the Middle East. The team comprises front-end and back-end developers, data analysts and data scientists, architects, analysts, and project managers. You will work with modern technologies and be an integral part of continuing to evolve our high-performing platforms. If you are serious about being a part of this fast-paced and exciting journey, this project should be top of the list!
This role will be primarily responsible for closely collaborating with a business SME to implement data validation rules.

Responsibilities

Collaborating with a business SME to implement data validation rules.

Understand business requirements and actively provide input from a data perspective.

Understand the underlying data and flow of data.

Understand overall platform architecture and capabilities and how to load data effectively.

Recognize and adapt to the changes in processes.

Skills

Must have

7 years + of relevant experience.

Proficient hands-on experience with PySpark-based data platforms:

Databricks, Cloudera, Apache Spark, etc. (3y+).

Proficiency in Python and PySpark (5y+).

Advanced knowledge in SQL (5y+).

Should be able to analyse and understand complex data.

Knowledge of Azure data/delta lake, Azure DevOps, CI/CD, and Git is essential.

Should clearly understand the data platform lifecycle and contribute to preparing Design documents, Unit Test plans, and Code review reports.

Knowledge of data Lake house and business intelligence architecture.

Experience working in an Agile environment (Scrum, Agile) is a plus.

Interpersonal/communication skills (both oral/written) with the ability to communicate at various levels with clarity & precision.

Bachelor's degree in IT/Computer Science or related field

Nice to have

Knowledge of the financial markets, portfolio theory, and risk management is a plus

Other

Languages

English: C1 Advanced

Seniority

Senior

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About The Company

Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.

DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.

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