Assistant Manager

Posted 5 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
Hybrid
Entry level
Information Technology • Database • Consulting
The Role
Build and modernize legacy data workflows into reliable, scalable Python pipelines in a cloud-based environment. Develop validated, memory-aware transformations using pandas, SQL, Parquet, and structured configurations. Responsibilities include handling data quality edge cases, profiling and optimizing performance, writing reusable and tested code, documenting workflows, maintaining backward compatibility, and creating lightweight Streamlit interfaces and integrations with Google APIs and Tableau.
Summary Generated by Built In

We’re looking for a strong Python engineer to help modernize legacy data workflows into production-grade Python pipelines running in a cloud-based data environment.

The role focuses on building reliable, scalable, and highly validated data pipelines with structured configs, logging, parquet-based processing, and lightweight Streamlit interfaces. A major part of the work involves translating existing workflow logic into clean, vectorized Python while ensuring data accuracy and consistency across large datasets.

Responsibilities
  • Strong Python + pandas expertise (vectorized, memory-aware, production-grade)
  • Solid SQL fundamentals
  • Data validation & edge-case handling (null joins, leading zeros, dtype drift, precision, encoding, sort stability)
  • Performance optimization using profiling and benchmarking tools
  • Clean engineering practices: reusable code, documentation, testing, and backward compatibility

Tech stack includes:

  • Python,
  • pandas,  
  • PyArrow/parquet,  
  • SQL, 
  • Google APIs, 
  • Tableau integrations, 
  • Streamlit,  
  • openpyxl, and XML parsing

Experience with PySpark, Polars, DuckDB, or large-scale data processing is a plus.

You should be comfortable reading complex data flows, debugging silent data issues, optimizing slow transformations, and shipping maintainable pipeline code.

Qualifications

Graduate/ Post Graduate

Skills Required

  • Graduate or postgraduate degree
  • Strong Python and pandas expertise
  • Solid SQL fundamentals
  • Experience with data validation and edge-case handling
  • Experience with performance profiling and benchmarking
  • Clean engineering practices, including reusable code, documentation, testing, and backward compatibility
  • Experience with PySpark, Polars, DuckDB, or large-scale data processing
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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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