Senior PySpark Data Engineer

1 Month ago • 7 Years + • Data Analyst

About the job

Job Description

Senior PySpark Data Engineer needed for projects in the Middle East. Collaborate with business SMEs to implement data validation rules, understand business requirements and data flow, and work with modern technologies on high-performing platforms. Responsibilities include understanding the data platform lifecycle, contributing to design documents, unit test plans, and code reviews. Requires proficiency in PySpark, Python, SQL, Azure data/delta lake, Azure DevOps, CI/CD, and Git. Experience with data lake houses and business intelligence architecture is essential. Agile experience is a plus.
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, DevOps, CI/CD, Git
  • Data platform lifecycle understanding
  • Data analysis & understanding complex data
  • Design docs, Unit tests, Code reviews
Good to have:
  • Knowledge of financial markets
  • Portfolio theory and risk management
  • Agile environment experience (Scrum)
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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Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia (On-Site)

Bengaluru, Karnataka, India (On-Site)

Chennai, Tamil Nadu, India (On-Site)

United States (Remote)

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