Python Engineer

3 days ago

Bengaluru, Karnataka, India Apexon Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are looking for a skilled Data Engineer with strong Python expertise to design, build, and maintain efficient data pipelines and systems. The ideal candidate should be comfortable handling large datasets, integrating data from multiple sources, and working with modern data engineering frameworks.

Key Responsibilities:

  • Develop, test, and maintain scalable data pipelines.
  • Write efficient, reusable Python code for data processing.
  • Work with structured and unstructured data using Pandas, PySpark, or Dask.
  • Integrate with databases (SQL and NoSQL) for data extraction and transformation.
  • Deploy and manage data workflows on cloud platforms (AWS, Azure, GCP).
  • Collaborate with analytics and product teams to optimize data delivery and reliability.

Core Technical Skills:

Core Python Skills

  • Data structures: Lists, dictionaries, sets, tuples
  • Functions & OOP: Writing reusable code, classes, inheritance
  • Error handling: Try-except blocks, logging
  • File I/O: Reading/writing CSV, JSON, Parquet, etc.

Data Engineering Tools & Libraries

  • Pandas, NumPy, SQLAlchemy
  • PySpark for big data processing
  • Dask for parallel computing

Database & Querying

  • SQL: Writing efficient queries, joins, aggregations
  • Relational databases: PostgreSQL, MySQL, MS SQL Server
  • NoSQL databases: MongoDB, Cassandra, Redis

Cloud Platforms

  • AWS: S3, Lambda, Redshift
  • Azure: Data Factory, Blob Storage
  • Google Cloud: BigQuery, Cloud Functions

Educational Qualification:

B.Tech / B.E / M.Tech / MCA in Computer Science, Information Technology, or related field.

Desired Candidate Profile:

  • Strong problem-solving and debugging skills.
  • Excellent understanding of data structures and algorithms.
  • Familiarity with version control (Git) and CI/CD processes.
  • Strong communication and collaboration abilities.

Benefits:

  • Competitive salary and performance bonuses.
  • Flexible working hours and remote-friendly culture.
  • Health insurance and learning allowances.
  • Exposure to large-scale data projects and modern tech stacks.

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