Data Engineer Sr Associate

Technogen India Pvt. Ltd.

Hyderabad

On-site

INR 700,000 - 1,200,000

Full time

14 days+

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Job summary

A leading company in IT Services and Consulting is seeking a Data Engineer - Enterprise Data Operations Analyst. The role involves data manipulation, API interaction, and proficiency in Python's data structures. Ideal candidates will have experience in data cleaning and handling JSON responses, contributing to innovative data solutions.

Qualifications

  • Proficient in data manipulation and analysis using data frames and series.
  • Experience with data cleaning, merging, reshaping, and aggregation.
  • Knowledge of handling missing data, filtering, sorting, and applying functions to datasets.

Responsibilities

  • Make GET and POST requests using libraries like requests.
  • Fetch, process, and handle JSON responses effectively.
  • Implement custom data structures using classes, methods, and functions.

Skills

Data manipulation
Data cleaning
REST API
Python data structures
Regular Expression

Job description

Direct message the job poster from Technogen India Pvt. Ltd.

Responsibilities and Requirements:
  1. Proficient in data manipulation and analysis using data frames and series.
  2. Experience with data cleaning, merging, reshaping, and aggregation.
  3. Knowledge of handling missing data, filtering, sorting, and applying functions to datasets.
  4. REST API:
  5. Experience in making GET and POST requests using libraries like requests.
  6. Ability to fetch, process, and handle JSON responses effectively.
  7. Knowledge of error handling, authentication (e.g., auth), and API rate limiting.
  8. Data structures in Python:
  9. In-depth knowledge of Python's built-in data structures: lists, tuples, dictionaries, sets, and arrays.
  10. Proficiency in implementing custom data structures using classes, methods, and functions.
  11. Regular Expression:
  12. Proficient in pattern matching, text searching, and data validation.
  13. Experience with reading from and writing to files (text, CSV, JSON).
Additional Details:
  • Seniority level: Mid-Senior level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: IT Services and IT Consulting

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About the Role:

Data Engineer - Enterprise Data Operations Analyst

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