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Senior Data Engineer (PySpark) Job Opening In Bengaluru – Now Hiring Luxoft


Job description

Project description

We need a Senior Python and Pyspark Developer to work for a leading investment bank client.


Responsibilities

  • Develop software applications based on business requirements
  • Maintain software applications and make enhancements according to project specifications
  • Participate in requirement analysis, design, development, testing, and implementation activities
  • Propose new techniques and technologies for software development.
  • Perform unit testing and user acceptance testing to evaluate application functionality
  • Ensure to complete the assigned development tasks within the deadlines
  • Work in compliance with coding standards and best practices
  • Provide assistance to Junior Developers when needed.
  • Perform code reviews and recommend improvements.
  • Review business requirements and recommend changes to develop reliable applications.
  • Develop coding documentation and other technical specifications for assigned projects.
  • Act as primary contact for development queries and concerns.
  • Analyze and resolve development issues accurately.


Mandatory Skills

  • Experience in data intensive Pyspark development.
  • Experience as a core Python developer.
  • Experience developing Classes, OOPS, exception handling, parallel processing .
  • Strong knowledge of DB connectivity, data loading, transformation, calculation.
  • Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations.
  • Lambda Functions, Decorators.
  • Vector operations on Pandas dataframes /series.
  • Application of applymap, apply, map functions.
  • Concurrency and error handling data pipeline batch of size [1-10 gb].
  • Ability to understand business requirements and translate them into technical requirements.
  • Ability to design architecture of data pipeline for concurrent data processing.
  • Familiar with creating/designing RESTful services and APIs.
  • Familiar with application unit tests.
  • Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
  • Debugging application.


Nice-to-Have Skills

  • Knowledge of web backend technology
  • Django, Python, PostgreSQL.
  • Apache Airflow
  • Atlassian Jira
  • Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus
  • Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Bengaluru, India, highlighting market share and opportunities for professionals in Senior Data roles.

516300 Jobs in India
516300
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Are You Looking for Senior Data Engineer (PySpark) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Luxoft adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

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6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Luxoft interview tips for Senior Data Engineer (PySpark)

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Before the Interview:

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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